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. 2026 Feb 11;18(2):e103425. doi: 10.7759/cureus.103425

Assessment of Knowledge, Awareness, and Perceptions of Robotic-Assisted Surgery Among the Adult Population in the United Arab Emirates

Fatma Almadani 1,, Malak Sondoqah 1, Razan Abdulsattar Awad 1, Yusur Al-Sudani 1, MHD Munzer Hussin Alali 1, Mohamed Feras Ebedin 1
Editors: Alexander Muacevic, John R Adler
PMCID: PMC12986705  PMID: 41835771

Abstract

Background: Successful adoption of robotic-assisted surgery (RAS) requires acceptance not only from healthcare organizations that implement these technologies but also from the general public, who would ultimately undergo such procedures. This study aimed to assess public awareness, knowledge, and perceptions of RAS in the United Arab Emirates (UAE).

Materials and methods: This cross-sectional study was conducted among 433 adults aged 18 years and above residing in the UAE between September 2021 and March 2023. Participants were recruited via convenience sampling through social media platforms. Data were collected using a 20-item self-administered questionnaire assessing knowledge, awareness, and perceptions of RAS. Responses were anonymized to ensure confidentiality. Data were analyzed in SPSS Statistics version 22 (IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.) and summarized using descriptive statistics; associations between variables were assessed using inferential tests.

Results: The majority of respondents (81.1%, n = 351) demonstrated inadequate awareness of RAS. Awareness was significantly associated with occupation, education level, and technology literacy. Individuals working in medical fields showed significantly higher levels of awareness than those in non-medical fields (25.4% vs. 15.8%; p = 0.028). Participants with postgraduate education had higher awareness (30.4%) than those with bachelor's degrees (16.8%; p = 0.034). Technological literacy also played a major role: participants proficient with technology were 2.5 times more likely to have adequate RAS knowledge (p = 0.003). Respondents with adequate knowledge were 14.5 times more likely to consider undergoing RAS compared to those with inadequate knowledge (p < 0.001).

Conclusions: Public awareness of RAS in the UAE remains low and is influenced by educational background, occupation, and technological literacy. Targeted public education efforts are recommended to improve awareness and acceptance of RAS.

Keywords: health education, knowledge, public awareness, robotic-assisted surgery, technology literacy

Introduction

Robotic-assisted surgery (RAS) represents a major advancement in modern surgical practice and has been increasingly adopted worldwide across multiple surgical specialties. Since the introduction of robotic surgical platforms, most notably the da Vinci® Surgical System (Intuitive Surgical, Inc., Sunnyvale, CA, USA), RAS has transformed minimally invasive surgery by enhancing surgical precision, improving visualization through three-dimensional imaging, and increasing dexterity via articulated instruments [1]. These technological advantages have been associated with reduced blood loss, shorter hospital stays, faster postoperative recovery, and, in selected procedures, improved surgical outcomes compared to conventional techniques [2,3]. As a result, RAS has become an integral component of surgical care in many high-income countries and continues to expand globally.

Despite its growing clinical utilization, public understanding and awareness of RAS remain limited. Existing literature has predominantly focused on the perspectives of surgeons, medical trainees, and patients already undergoing surgical care, with relatively fewer studies assessing awareness and perceptions within the general population [4,5]. Previous international studies have demonstrated that misconceptions regarding the surgeon's role, system autonomy, safety, and cost are common, and that awareness levels are strongly influenced by educational background, occupational exposure, and technological literacy [6].

In the Middle East, and particularly in the United Arab Emirates (UAE), the adoption of RAS systems has expanded rapidly in both public and private healthcare institutions as part of national strategies aimed at advancing healthcare innovation [7]. However, data on public awareness, knowledge, and perceptions toward RAS within the UAE remain scarce. Understanding public perceptions is essential, as patient acceptance and informed decision-making are critical to the successful integration of emerging surgical technologies.

This cross-sectional study aims to examine public awareness, knowledge, and perceptions of RAS among adults in the UAE and to explore factors influencing these attitudes, including demographics, technological literacy, and media exposure.

This article was previously presented at the 6th American University in the Emirates (AUE) student research competition on September 11, 2023, and as a poster presentation at the 5th Internal Medicine Update (IMU) conference 2023 in October 2023.

Materials and methods

Study design

This cross-sectional study was conducted between September 2021 and March 2023 to assess public awareness, knowledge, and attitudes toward RAS among adults residing in the UAE. The study was designed and reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines for cross-sectional studies. The University of Sharjah Research Ethics Committee issued approval REC-22-02-16-05-S.

Study sample

Cochran's formula Inline graphic was used to calculate the sample size [8], assuming an awareness prevalence of 36.8%, a 95% confidence level, and a 5% margin of error, resulting in a minimum required sample size of 358 participants. To account for potential incomplete responses, the target sample size was increased to 376. A total of 462 participants were recruited, of whom 433 completed the questionnaire fully and were included in the final analysis.

Study population

Adults aged ≥18 years residing in the UAE and able to complete the questionnaire in Arabic or English were eligible to participate. Individuals who submitted incomplete questionnaires were excluded. Participants were recruited using convenience sampling through social media platforms, including WhatsApp (Meta Platforms, Inc., Menlo Park, CA, USA), Instagram (Meta Platforms, Inc., Menlo Park, CA, USA), and Telegram (Telegram FZ-LLC, UAE).

Research instrument and data collection

Data were collected using a 20-item self-administered online questionnaire adapted from a previously validated instrument developed by Buabbas et al. [6]. The questionnaire comprised three domains: demographics (seven items: gender, age, nationality, place of residence, educational level, employment status, and profession), awareness of RAS (six items), and attitudes toward RAS (seven items). Awareness and attitude items were assessed using a five-point Likert-scale response format (1 = strongly disagree to 5 = strongly agree), with higher scores indicating greater awareness and more favorable attitudes toward RAS.

The questionnaire was distributed electronically as an online survey. Participation was voluntary and anonymous, and informed consent was obtained electronically prior to participation. A copy of the distributed questionnaire is provided in the Appendices.

The questionnaire was administered in both Arabic and English. A forward-backward translation process was employed to ensure linguistic and conceptual equivalence. The questionnaire was translated from English into Arabic and independently back-translated into English by bilingual authors. Any discrepancies were reviewed and resolved through consensus to ensure semantic consistency between versions. Although the questionnaire was adapted from a previously validated instrument, a formal pilot study was not conducted. This limitation was acknowledged and considered when interpreting the findings.

Reliability

Internal consistency of the awareness domain was assessed using Cronbach’s alpha (Inline graphic), which demonstrated acceptable reliability (α = 0.753) [9,10].

Statistical analysis

Data were analyzed using SPSS Statistics version 22 (IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.). Descriptive statistics were used to summarize participant characteristics. Associations were assessed using Pearson’s chi-square test or Fisher’s exact test, as appropriate, and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Awareness and attitude scores were analyzed as continuous variables. For descriptive purposes, attitude scores were further categorized into low, moderate, and high levels to facilitate interpretability. Awareness and knowledge were categorized as adequate or inadequate. A two-tailed p-value of < 0.05 was considered statistically significant.

Results

Sociodemographic data

A total of 433 participants were included in the study; sociodemographic data are represented in Table 1. Females comprised 59.6% (n = 258) of the sample. Participants’ ages ranged from 18 to 64 years, with a median age of 23 years. Most respondents resided in Sharjah (36.3%, n = 157) and Dubai (31.2%, n = 135). Nearly half of the sample were Non-Emirati Arabs (47.8%, n = 207), followed by Emiratis (46.2%, n = 200) and non-Arabs (6.0%, n = 26). Regarding education, 45.5% (n = 197) held a bachelor’s degree. Students represented 48.0% (n = 208) of participants, and 61.2% (n = 265) reported working in non-medical fields.

Table 1. Sociodemographic data of the respondents.

Category Number of participants (n) Percentage of participants (%)
Sex  
Female 258 59.6%
Male 175 40.4%
Age  
18-30 years 261 60.6%
31-40 years 64 14.8%
41-50 years 65 15.1%
>50 years 41 9.5%
Residence  
Abu Dhabi 113 26.1%
Dubai 135 31.2%
Sharjah  157 36.3%
Other Emirates  28 6.5%
Nationality   
Emirati 200 46.2%
Non-Emirati 207 47.8%
Non-Arab 26 6.0%
Education  
School 113 26.1%
College/ diploma degree 77 17.8%
Bachelor's degree 197 45.5%
Postgraduate degree 46 10.6%
Profession  
Non-medical 265 61.2%
Medical related 54 12.5%
Medical 114 26.3%
Employment status  
Employed 188 43.4%
Unemployed 37 8.5%
Student 208 48.0%

Awareness of RAS

Awareness scores were generally low, with only 18.9% of participants meeting the predetermined cutoff for adequate awareness. Education level was significantly associated with awareness (p = 0.038). Participants with postgraduate degrees were over twice as likely to have adequate awareness compared with those holding a bachelor’s degree (30.4% vs. 16.8%; OR = 2.174, 95% CI: 1.047-4.516), as shown in Table 2.

Table 2. Association between education level and awareness of RAS.

A bachelor’s degree was used as the reference category for OR calculations. Percentages represent the distribution of awareness level within each education category (column percentages).

RAS: robotic-assisted surgery, OR: odds ratio, CI: confidence interval

Education level Adequate awareness (n, %) Inadequate awareness (n, %) p-value OR (95% CI)
School 26 (23.0%) 87 (77.0%) 0.177 0.673 (0.379-1.198)
Some college/diploma degree 9 (11.7%) 68 (88.3%) 0.296 1.520 (0.690-3.348)
Bachelor’s degree 33 (16.8%) 164 (83.2%) Reference 1.00 (reference)
Postgraduate degree 14 (30.4%) 32 (69.6%) 0.034 2.174 (1.047-4.516)

Occupation also influenced awareness (p = 0.028). Individuals working in non-medical professions were significantly less likely to have adequate awareness than those in medical fields (15.8% vs. 25.4%; OR = 0.552, 95% CI: 0.323-0.943). Nonetheless, there was no significant difference in awareness between individuals within non-medical and medical-related fields (OR = 1.258, 95% CI: 0.648-2.846), as shown in Table 3.

Table 3. Association between occupation and awareness of RAS.

A non-medical field was used as the reference category for OR calculations. Percentages represent the distribution of awareness level within each education category (column percentages).

RAS: robotic-assisted surgery, OR: odds ratio, CI: confidence interval

Occupation field Adequate awareness (n, %) Inadequate awareness (n, %) p-value OR (95% CI)
Medical 29 (25.4%) 85 (74.6%) 0.028 0.552 (0.323-0.943)
Non-medical 42 (15.8%) 223 (84.2%) Reference 1.00 (reference)
Medical-related 11 (20.4%) 43 (79.6%) 0.416 1.258 (0.648-2.846)

In the multivariable logistic regression analysis, participants identifying as proficient in technology were 2.5 times more likely to have adequate awareness compared with those reporting only basic technological literacy (32.1% vs. 15.8%; adjusted OR = 2.526, 95% CI: 1.365-4.674). In contrast, there was no significant difference in the proportion of individuals with adequate awareness between those with intermediate literacy and those with basic literacy (15.2% vs. 15.8%; OR = 0.952, 95% CI: 0.527-1.721). Similarly, individuals with below-basic literacy did not differ significantly from those with basic literacy (23.1% vs. 15.8%; OR = 0.624, 95% CI: 0.161-2.421), as shown in Table 4.

Table 4. Association between technological literacy and awareness of RAS.

A basic literacy level was used as the reference category for OR calculations. Percentages represent the distribution of awareness level within each education category (column percentages).

RAS: robotic-assisted surgery, OR: odds ratio, CI: confidence interval

Technological literacy Adequate awareness (n, %) Inadequate awareness (n, %) p-value OR (95% CI)
Below basic 3 (23.1%) 10 (76.9%) 0.493 0.624 (0.161-2.421)
Basic 27 (15.8%) 144 (84.2%) Reference 1.00 (reference)
Intermediate 25 (15.2%) 140 (84.8%) 0.872 0.952 (0.527-1.721)
Proficient 27 (32.1%) 57 (67.9%) 0.003 2.526 (1.365-4.674)

Knowledge of RAS principles

When asked to identify the correct definition of RAS, only 27.5% selected that RAS involves a surgeon operating the robotic system from a console. The majority (61.2%) selected incorrect responses, indicating substantial misunderstanding of RAS fundamentals, as shown in Figure 1.

Figure 1. Participants’ responses to the definition of RAS.

Figure 1

Correct response is marked by an asterisk (*).

RAS: robotic-assisted surgery

Regarding participants’ perceptions of the advantages of RAS (Figure 2A), awareness was moderate. Most participants recognized improved surgical precision (71.3%), shorter operative times (68.1%), reduced human error (67.9%), and reduced surgeon shortages (63.3%) as benefits. Fewer participants identified reductions in complications (43.6%) or postoperative pain (31.4%) as advantages, indicating partial understanding of clinical benefits.

Figure 2. Participants’ perceptions of the (A) advantages and (B) disadvantages of RAS.

Figure 2

RAS: robotic-assisted surgery

Knowledge of potential disadvantages (Figure 2B) was similarly limited. While many participants acknowledged increased pain (59.1%), higher complication rates (58.4%), and potential inaccuracy (51.7%) as risks, a substantial proportion were less aware of slower procedures (44.6%), possible errors (40.0%), or technical malfunctions (39.3%), reflecting gaps in awareness of RAS limitations.

Attitudes toward RAS

Although awareness was low, attitudes toward RAS were generally moderate. Based on the predefined attitude categories, 47.6% of participants demonstrated a high attitude, reflected by a willingness to undergo RAS; 34.2% showed a moderate attitude (unsure); and 18.3% exhibited a low attitude (unwilling).

Participants with adequate awareness had significantly higher odds of a high attitude toward RAS than those with inadequate awareness (adjusted OR = 14.5, 95% CI: 5.35-29.29), as shown in Table 5. Regarding the recommendation of RAS, 37.2% indicated they would recommend it to others, 29.1% would not, and 33.7% remained unsure (Figure 3).

Table 5. Association between awareness of RAS and attitudes.

The neutral likelihood of undergoing RAS was used as the reference category for OR calculations. Percentages represent the distribution of awareness level within each education category (column percentages).

RAS: robotic-assisted surgery

Likelihood to undergo RAS Adequate awareness (n) Inadequate awareness (n) p-value OR (95% CI)
Extremely unlikely 3 49 0.613 1.408 (0.371-5.338)
Unlikely 5 75 0.65 1.293 (0.425-3.932)
Neutral/unsure 10 116 Reference 1.00 (reference)
Likely 49 99 <0.001 5.741 (2.764-11.927)
Extremely likely 15 12 <0.001 14.500 (5.352-29.287)

Figure 3. Participants’ willingness to recommend RAS.

Figure 3

RAS: robotic-assisted surgery

Discussion

This study reveals that public awareness of RAS in the UAE remains low, with fewer than one in five participants demonstrating adequate knowledge. Findings indicate that education level, occupation, and technological literacy are key determinants of awareness and acceptance, highlighting the need for targeted public education initiatives and improved access to reliable information tailored to the UAE context [11,12].

Higher levels of education, particularly postgraduate study, were associated with greater awareness of RAS. This aligns with existing literature indicating that individuals with higher levels of education are more likely to be exposed to scientific innovations and possess greater health and technology literacy [13,14]. In contrast, participants with only a bachelor’s degree demonstrated lower levels of knowledge, suggesting gaps in public dissemination of information about RAS. In the UAE, where higher education is expanding but not universally health- or technology-focused, integrating medical and technological literacy across diverse programs may be critical for fostering public understanding.

Consistent with previous research, healthcare workers exhibited significantly higher awareness of RAS than those in non-medical careers. Their direct exposure to surgical technologies likely contributes to their greater familiarity. Limited awareness among non-medical participants suggests unequal access to information and emphasizes the need for broader community education efforts [15]. Public health campaigns tailored to non-medical audiences may help bridge this gap and promote equitable understanding of emerging medical technologies.

Technological proficiency appeared to influence awareness. Participants with higher digital literacy were significantly more knowledgeable about RAS. This reflects global trends, indicating that individuals who are comfortable with technology are more open to innovations in healthcare and better able to understand complex technological systems [16]. Given the UAE’s rapidly digitizing healthcare sector, initiatives to improve general digital literacy could enhance both awareness and acceptance of RAS. Notably, social media was the predominant source of RAS information, underscoring the importance of optimizing digital platforms to ensure accurate, accessible, and culturally relevant health communication.

Despite generally positive attitudes toward RAS, participants expressed notable concerns regarding the reliability and safety of robotic systems. Many reported fears of potential malfunctions, findings consistent with studies conducted in other regions. These concerns may stem from limited public understanding of RAS safeguards and intraoperative control mechanisms. Cost was also a frequently cited concern. Participants perceived RAS as more expensive than traditional surgical approaches, echoing prior research suggesting that cost remains a major barrier to the broader adoption of RAS [15,16]. Addressing these concerns through targeted public education, particularly by emphasizing system safety, clinical outcomes, and long-term benefits, such as reduced complications and faster recovery, can strengthen public trust and acceptance.

A strong relationship was observed between participants’ knowledge levels and their willingness to undergo RAS. In the present study, individuals with adequate knowledge were markedly more likely to consider RAS than those with inadequate knowledge. This reinforces the existing literature showing that informed patients are more likely to choose advanced medical technologies when they understand their safety, effectiveness, and potential benefits [17,18]. As public understanding of RAS's precision, minimal invasiveness, and shorter recovery periods improves, acceptance and demand for RAS are likely to increase.

Recommendations

The findings of this study highlight the critical importance of expanding public education to improve awareness and acceptance of RAS. Although RAS offers many advantages, persistent misconceptions related to safety, reliability, and cost continue to limit public confidence. To address these gaps, healthcare institutions and policymakers should prioritize digital outreach, including social media campaigns that provide accurate, accessible information. Additionally, community education programs are advisable to address common misconceptions, particularly when combined with collaboration with educational institutions to enhance technological and health literacy. These efforts will play a vital role in enhancing public understanding and supporting the effective integration of robotic technology into healthcare systems [19,20].

Strengths and limitations

This study’s strengths include a large, geographically diverse sample across multiple Emirates, providing a broad overview of public awareness of RAS in the UAE. Additionally, it features a structured questionnaire with acceptable reliability and enables standardized data collection and comparison with the existing literature.

Limitations include convenience sampling via social media, which may limit generalizability, introduce recruitment bias, and favor tech-literate participants, thereby inflating awareness scores. The absence of a formal pilot study limits the ability to confirm the questionnaire’s reproducibility. Additionally, the extended data collection period (2021-2023) may have introduced temporal variation, as public awareness could have shifted due to new hospital marketing campaigns or government health initiatives. Furthermore, the association between attitudinal status toward RAS and participants’ demographic backgrounds was not analyzed in this study. Examining these relationships in future research would provide valuable insights for understanding factors influencing attitudes toward RAS. Despite these limitations, the findings provide valuable insight into public knowledge and perceptions of RAS in the UAE, offering a foundation for targeted education and outreach initiatives.

Conclusions

This cross-sectional study demonstrates that public awareness of RAS among adults in the UAE remains limited, despite generally positive attitudes toward its use. Awareness was significantly influenced by educational attainment, professional background, and technological literacy, highlighting persistent disparities in access to and understanding of advanced surgical technologies. Importantly, individuals with adequate knowledge were substantially more willing to undergo RAS, underscoring the critical role of public education in shaping acceptance and informed decision-making.

As robotic technologies continue to expand within the UAE healthcare system, targeted public education initiatives are essential to address misconceptions regarding safety, reliability, and cost. Improving technological and health literacy may enhance patient trust, autonomy, and readiness to adopt innovative surgical options. Future studies employing probability-based sampling and longitudinal designs are recommended to assess causal relationships better and evaluate the impact of educational interventions on public awareness and acceptance of RAS.

Acknowledgments

The authors would like to thank Prof. Oktay Irkorucu for his supervision and guidance during the research.

Appendices

Table 6. Questionnaire on awareness and attitudes toward RAS.

RAS: robotic-assisted surgery, UAE: United Arab Emirates

Section name Item number Question Choices
Demographics A1 What is your gender? Female
Male
A2 What is your age? --- years old
A3 What is your nationality? Emirati
Non-Emirati Arab
Non-Arab
A4 What is your current place of residency? Abu Dhabi/Al Ain
Dubai
Sharjah
Ajman
Ras Al Khaimah 
Fujairah
Umm Al Quwain
Outside the UAE
A5 What is your highest educational level?  Did not enter school 
Elementary school (any grade 1-6)
Middle school (any grade 7-9) 
High school (any grade 10-12) 
Technical school 
Some college or diploma degree
Bachelor's degree (University) 
Post-graduate degree 
Others (please specify)
A6 What is your current employment status?  Employed full-time 
Employed part-time
Self-employed
Unemployed
Student
Retired
Others (please specify)
A7 What is your field of work? Medical
Non-medical
Medical-related
Awareness of RAS B1 How comfortable are you in using technology devices? Very uncomfortable 
Uncomfortable
Neutral
Comfortable 
Very comfortable 
B2 What is your level of literacy in technology? Non-literate 
Below basic
Basic
Intermediate
Proficient 
B3 Have you heard of RAS before?  Yes
No
B4 If you answered the previous question with Yes, please specify your source:  Internet/social media
Friends
Family members/relatives
Family doctor
Not sure 
Others (please specify)
B5 How aware are you of RAS? Not at all aware 
Slightly aware 
Somewhat aware 
Moderately aware 
Extremely aware 
B6 As per your knowledge, how do you think RAS works? I don’t know
Surgeons use robotic arms
Surgeons instruct the robots step by step
Surgeons program the robot,nd the robot does the job
Robots do the surgery and the surgeon ensure the patient’s safety
Attitude toward RAS and its advantages and disadvantages C1 Regarding the advantages of RAS, please rate your level of agreement with the following statements? Options are represented in Table 7.
C2 Regarding the disadvantages of RAS, please rate your level of agreement with the following statements? Options are represented in Table 8.
C3 If you needed to do surgery, what is the likelihood that you would agree to do RAS? Extremely unlikely 
Unlikely 
Neutral/unsure
Likely 
Extremely likely
C4 What is the likelihood that you would consider recommending RAS as a surgical option to a relative or friend? Extremely unlikely 
Unlikely 
Neutral/unsure
Likely 
Extremely likely
C5 Are you with or against the use of RAS? Explain why? -----
C6 Do you think there is a need to implement an educational program on RAS? Yes
No
C7 Are you interested in knowing more about RAS? Not interested at all
Not interested
Indifferent 
Interested
Very interested

Table 7. Advantages of RAS.

RAS: robotic-assisted surgery

Statement Strongly disagree Disagree  Somewhat disagree Neutral (not sure) Somewhat agree Agree Strongly agree
Advantages of RAS
Less pain              
Fewer complications              
Is faster              
It is more precise              
Minimizes surgeons' shortage              
Fewer human errors              

Table 8. Disadvantages of RAS.

RAS: robotic-assisted surgery

Statement Strongly disagree Disagree  Somewhat disagree Neutral (not sure) Somewhat agree Agree Strongly agree
Disadvantages of RAS
More pain              
More complications              
Is slower              
It can stop working              
Errors can arise              
Not accurate              

Disclosures

Human subjects: Informed consent for treatment and open access publication was obtained or waived by all participants in this study. University of Sharjah Research Ethics Committee issued approval REC-22-02-16-05-S.

Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.

Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following:

Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work.

Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work.

Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Author Contributions

Concept and design:  Fatma Almadani, Malak Sondoqah, Razan Abdulsattar Awad, Yusur Al-Sudani, MHD Munzer Hussin Alali, Mohamed Feras Ebedin

Acquisition, analysis, or interpretation of data:  Fatma Almadani, Malak Sondoqah, Razan Abdulsattar Awad, Yusur Al-Sudani, MHD Munzer Hussin Alali, Mohamed Feras Ebedin

Drafting of the manuscript:  Fatma Almadani, Malak Sondoqah, Razan Abdulsattar Awad, Yusur Al-Sudani, MHD Munzer Hussin Alali, Mohamed Feras Ebedin

Critical review of the manuscript for important intellectual content:  Fatma Almadani, Malak Sondoqah, Razan Abdulsattar Awad, Yusur Al-Sudani, MHD Munzer Hussin Alali, Mohamed Feras Ebedin

References

  • 1.Role of robotic-assisted surgery in public health: its advantages and challenges. Handa A, Gaidhane A, Choudhari SG. Cureus. 2024;16:62958. doi: 10.7759/cureus.62958. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Robot-assisted urological surgery in the Middle East: where are we and how far can we go? Azhar RA, Elkoushy MA, Aldousari S. Arab J Urol. 2019;17:106–113. doi: 10.1080/2090598X.2019.1601003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Impacts of robotic assisted surgery on hospital’s strategic plan. Platis C, Zoulias E. Procedia Soc Behav Sci. 2014;147:321–326. [Google Scholar]
  • 4.Robotic surgery: current perceptions and the clinical evidence. Ahmad A, Ahmad ZF, Carleton JD, Agarwala A. Surg Endosc. 2017;31:255–263. doi: 10.1007/s00464-016-4966-y. [DOI] [PubMed] [Google Scholar]
  • 5.Gender differences in understanding and acceptance of robot-assisted surgery. McDermott H, Choudhury N, Lewin-Runacres M, Aemn I, Moss E. J Robot Surg. 2020;14:227–232. doi: 10.1007/s11701-019-00960-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.An exploratory study of public' awareness about robotics-assisted surgery in Kuwait. Buabbas AJ, Aldousari S, Shehab AA. BMC Med Inform Decis Mak. 2020;20:140. doi: 10.1186/s12911-020-01167-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Robotic assisted surgery in the United Arab Emirates: healthcare experts' perceptions. Barkati N, Ntefeh N, Okasha A, Takshe AA, ElKhatib R, Chelli S. J Robot Surg. 2023;17:2799–2806. doi: 10.1007/s11701-023-01716-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.How to choose a sampling technique and determine sample size for research: a simplified guide for researchers. Ahmed SK. Oral Oncol Rep. 2024;12:100662. [Google Scholar]
  • 9.Coefficient alpha and the internal structure of tests. Cronbach LJ. Psychomerika. 1951;16:297–334. [Google Scholar]
  • 10.Making sense of Cronbach's alpha. Tavakol M, Dennick R. Int J Med Educ. 2011;2:53–55. doi: 10.5116/ijme.4dfb.8dfd. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Knowledge, attitude, and perception of robotic-assisted surgery among the general population in Saudi Arabia: a cross-sectional study. Arishi AA, Hakami IA, Mashbari HN, et al. J Robot Surg. 2024;18:196. doi: 10.1007/s11701-024-01892-z. [DOI] [PubMed] [Google Scholar]
  • 12.Assessment of knowledge and awareness regarding robotics-assisted surgery (RAS) among Saudi population: a cross sectional study. Algethami RF, Alotbi MF, Alsulaimani AI. Med Sci. 2023;27:1–9. [Google Scholar]
  • 13.Knowledge, attitude, awareness, and future expectations of robotic surgery in patients attending surgical specialties clinics. Al Dihan FA, Alghamdi MA, Aldihan FA, Alamer NM, Alshahrani FA, Alqarni A. Cureus. 2024;16:56523. doi: 10.7759/cureus.56523. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Medical students’ attitude towards robotic surgery: a cross-sectional survey. Sultan I, Bardi MF, Baatta AM, Almaghrabi S, Mohammed RA. J Med Educ Curric Dev. 2022;9:23821205211066483. doi: 10.1177/23821205211066483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Public perceptions on robotic surgery, hospitals with robots, and surgeons that use them. Boys JA, Alicuben ET, DeMeester MJ, Worrell SG, Oh DS, Hagen JA, DeMeester SR. Surg Endosc. 2016;30:1310–1316. doi: 10.1007/s00464-015-4368-6. [DOI] [PubMed] [Google Scholar]
  • 16.Adverse events in robotic surgery: a retrospective study of 14 years of FDA data. Alemzadeh H, Raman J, Leveson N, Kalbarczyk Z, Iyer RK. PLoS One. 2016;11:151470. doi: 10.1371/journal.pone.0151470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Consumer acceptance of robotic surgeons in health services. Souto-Romero M, Pelegrín-Borondo J, Arias-Oliva M, Almahameed AA. Humanit Soc Sci Commun. 2024;11:900. [Google Scholar]
  • 18.Building a predictive model of U.S. patient willingness to undergo robotic surgery. Anania EC, Rice S, Winter SR. J Robot Surg. 2021;15:203–214. doi: 10.1007/s11701-020-01092-5. [DOI] [PubMed] [Google Scholar]
  • 19.Usage of social media for health awareness purposes among health educators and students in Saudi Arabia. Mohammed W, Alanzi T, Alanezi F, Alhodaib H, AlShammari M. Inform Med Unlocked. 2021;23:100553. [Google Scholar]
  • 20.Using social media platforms to raise health awareness and increase health education in Pakistan: structural equation modeling analysis and questionnaire study. Munir MM, Ahmed N. JMIR Hum Factors. 2025;12:65745. doi: 10.2196/65745. [DOI] [PMC free article] [PubMed] [Google Scholar]

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