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. 2023 May 5;11(5):125. doi: 10.3390/dj11050125

Table 2.

Evaluation of the attitudes and perceptions of university students in Lima about the use of AI in education (n = 200).

Items Disagree
n (%)
I Don′t Know.
n (%)
Agree
n (%)
AI will lead to great advances in dentistry and medicine 10 (5.00) 18 (9.00) 172 (86.00)
AI may replace dentist and doctors in the future 90 (45.00) 42 (21.00) 68 (34.00)
AI can be used as a definitive diagnostic tool in disease diagnosis 27 (13.50) 36 (18.00) 137 (68.50)
AI can be used as a prognostic tool to predict the course of a disease and determine if there is a chance of recovery 14 (7.00) 33 (16.50) 153 (76.50)
AI can be used in the three-dimensional positioning and planning of implants 15 (7.50) 31 (15.50) 154 (77.00)
AI can be used as a treatment planning tool in the diagnosis and planning of dental treatment 15 (7.50) 32 (16.00) 153 (76.50)
AI can be used as a quality control tool to assess the success of treatments 13 (6.50) 28 (14.00) 159 (79.50)
AI applications should be part of undergraduate dental education 47 (23.50) 19 (9.50) 134 (67.00)
AI applications should be part of postgraduate dental education 32 (16.00) 24 (12.00) 144 (72.00)
The use of AI in dentistry and medicine is exciting 10 (5.00) 9 (4.50) 181 (90.50)
AI can be used for radiographic diagnosis of dental caries 12 (6.00) 17 (8.50) 171 (85.50)
AI can be used for the diagnosis of soft tissue injuries in the oral cavity 13 (6.50) 42 (21.00) 145 (72.50)
AI can be used for radiographic diagnosis of jaw pathologies 16 (8.00) 38 (19.00) 146 (73.00)
AI can be used for the radiographic diagnosis of periodontal diseases 19 (9.50) 45 (22.50) 136 (68.00)
AI can be used in forensic odontology 40 (20.00) 39 (19.50) 121 (60.50)