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. 2022 Aug 23;13:927–937. doi: 10.2147/AMEP.S368519

Table 4.

Respondents’ Perception Regarding the Impact of AI on Ethics and on Medical Education

Statements Strongly Agree Agree Neither Agree Nor Disagree Disagree Strongly Disagree
Artificial Intelligence will reduce the number of jobs available to me. 82 (38.0) 24 (11.1) 58 (26.9) 41 (21.8) 5 (2.3)
Artificial Intelligence will/already did impact my choice of specialty selection. 63 (29.3) 17 (7.9) 75 (25.6) 68 (31.6) 12 (5.6)
Artificial Intelligence will reduce the number of jobs in certain medical specialties more than others. 98 (45.4) 45 (20.8) 46 (21.3) 24 (11.1) 3 (2.3)
Artificial Intelligence will/already did impact my choice of specialty selection. 98 (45.4) 45 (20.8) 46 (21.3) 24 (11.1) 3 (2.3)
AI in medicine will raise new ethical challenges. 123 (56.9) 70 (32.4) 19 (8.8) 2 (0.9) 2 (0.9)
AI in medicine will raise new social challenges. 139 (64.4) 21 (9.7) 32 (14.8) 23 (10.6) 1 (0.5)
AI in medicine will raise new challenges around health equity. 139 (64.4) 20 (9.3) 36 (16.7) 15 (6.9) 6 (2.8)
The Nepalese healthcare system is currently well prepared to deal with challenges having to do with AI. 8 (3.7) 16 (7.4) 33 (15.3) 86 (39.8) 106 (49.1)
My medical education is adequately preparing me for working alongside AI tools. 15 (6.9) 3 (1.4) 33 (15.3) 79 (36.6) 86 (39.8)
Medical training should include training on AI competencies (eg, what is AI, how will it impact us, what are the challenges it raises). 152 (70.4) 35 (16.2) 23 (10.6) 4 (1.9) 2 (0.9)
Every medical trainee should be required to receive training in AI competencies. 164 (71.3) 23 (10.6) 25 (11.6) 6 (2.8) 8 (3.7)