Undergraduate Medical Students' and Interns' Knowledge and Perception of Artificial Intelligence in Medicine.
Nisha JhaPathiyil Ravi ShankarMohammed Azmi Al-BetarRupesh MukhiaKabita HadaSubish PalaianPublished in: Advances in medical education and practice (2022)
The lack of coverage of AI and machine learning in Nepalese medical schools has resulted in students being unaware of AI's impact on individual patients and the healthcare system. A high perceived willingness among respondents to learn about AI is a positive sign and a strong indicator of futuristic successful curricula changes. Systematic implementation of AI in the Nepalese healthcare system can be a potential tool in addressing health-care challenges related to resource and manpower constraints. Incorporating topics related to AI and machine learning in medical curricula can be a useful first step.
Keyphrases
- artificial intelligence
- machine learning
- healthcare
- big data
- deep learning
- medical students
- end stage renal disease
- medical education
- newly diagnosed
- ejection fraction
- primary care
- chronic kidney disease
- depressive symptoms
- mental health
- prognostic factors
- peritoneal dialysis
- physical activity
- social support
- climate change
- health information
- social media