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. 2023 Sep 13;5:1229308. doi: 10.3389/fdgth.2023.1229308

Table 2.

Participant concerns about AI in healthcare.

Themes (heading) and participant-generated titles (bulleted) Number of items % of total concerns % of total items generated
Concerns about changes to healthcare
  • Concerns related to the true nature of healthcare

  • Changes in the structure of the healthcare system

  • Deterioration of doctors’ diagnostic ability due to reliance on AI

  • What will happen in an age where AI is seen to be absolute?

  • What will happen in an age where AI surpasses doctors? (Both to patients and doctors)

13 25% 12%
Limitations and loss of autonomy
  • Can AI understand the hearts/minds of patients/people?

  • Anxiety caused by what AI is lacking

  • Loss of treatment options and possibilities

  • Can AI be used effectively?

  • Negative perceptions of AI

11 21% 10%
Technical issues and accountability
  • Ensuring the quality and accuracy of information

  • Program update and backup issues

  • Misdiagnoses, accidents, and accountability issues

9 17% 8%
Emerging disparities
  • Disparities between people comfortable with new technologies and those who are not

  • Issues around disparities

  • Problems with literacy in relation to personal information/use of devices

  • Differences in implementation depending on the region, hospital, and doctor

  • Need to make the purpose of AI development clear

7 13% 7%
Data management issues
  • Concerns about the system

  • Risk of leaks of personal information

  • Problems with the handling of personal information

7 13% 7%
Costs of implementation
  • The costs of and time needed for implementation

  • Mistrust of the system

5 10% 5%
Total 52