Open AccessARTIFICIAL INTELLIGENCE: MEDICAL STUDENT S ATTITUDE IN DISTRICT PESHAWAR PAKISTAN
Author(s) -
Saima Abid,
Baber Awan,
Tauseef Ismail,
Naveeda Sarwar,
Ghulam Sarwar,
Muhammad Tariq,
Saira Naz,
Adnan Ahmed,
M. S. Amir Farhan,
Mohammad Uzair,
Aweenash Kumar,
Ushna Iqbal,
Ariba Khan,
Attiq-ur-Rehman
Publication year - 2019
Publication title -
pakistan journal of public health
Language(s) - English
Resource type - Journals
eISSN - 2226-7018
pISSN - 2225-0891
DOI - 10.32413/pjph.v9i1.295
Subject(s) - likert scale , medical education , nonprobability sampling , inclusion (mineral) , data collection , dominance (genetics) , medicine , health care , scale (ratio) , developing country , family medicine , psychology , population , environmental health , social science , social psychology , developmental psychology , biochemistry , chemistry , physics , quantum mechanics , sociology , economics , gene , economic growth
Background: Artificial intelligence (AI) is an advanced computer technology used in the medical field to elude the errors and enhance effectiveness and efficiency, especially in clinical work. Developing countries can utilize the same models to improve their health care system as the industrialized world. Globally medicine is evolving to the era of "Artificial intelligence", medical education must include these modern technologies and competencies to reform. We intended to determine the attitude of the medical students towards the introduction of AI in Undergraduate Medical Education in District Peshawar. Methods: This cross-sectional descriptive study was carried out among 384 students of two medical colleges in Peshawar, utilizing a convenient sampling technique for data collection. A self-administered questionnaire, with 5 points Likert scale was used to collect data. Data was analyzed through SPSS version (22.2). Results: Majority of the students 61.7% had no previous knowledge of AI. Mean scores for AIs perceived usefulness in Radiology, replacement with human Radiologist, anticipated dominance in clinical practice, willingness for introduction in medical education, excitement to adopt, perceived as a burden, practicability were 1.89, 2.83, 2.76, 2.35, 2.13, 3.18, 2.39 respectively. Conclusion: The positive attitude was seen among medical students regarding the inclusion of Artificial intelligence in undergraduate medical education.