EXPLORING THE FEASIBILITY AND IMPLICATIONS OF TEACHING ARTIFICIAL INTELLEGENCE APPLICATIONS IN DIAGNOSTICS AND TREATMENT PLANNING IN MEDICAL SCHOOLS
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Keywords
AI, Medical Education, AI in Diagnostics, AI in Treatment Planning, General Knowledge of AI
Abstract
Background: The rise of digital health technologies and artificial intelligence [AI] has transformed medical practice and education, highlighting the need for healthcare professionals to understand and integrate AI in diagnostics and treatment.
Objective: To investigate that how the training regarding feasibility and implications of teaching AI in diagnostics and treatment planning impacts the knowledge of the healthcare professional through pre-and-post-training session.
Methods: Pre-and-Post training Research Design was chosen. This study was conducted in Khyber Medical College, Peshawar from 1st September 2024 till 20 November 2024. A pre-post training research design was adopted. The population of the study were students of MBBS programs studying in different years from 1st to 5th. A sample of 50 students was chosen among the student’s population through convenient sampling technique. The 4 training modules, i.e., AI in Diagnostics, AI in Treatment Planning, General Knowledge of AI and Perceived Feasibility and Challenges of AI were including in the training provided to the students, based on which the knowledge of the students was examined. Cronbach alpha for all the scales was higher than standard value of 0.6, showing that the scales were reliable. A paired t-test was conducted to determine if the differences in pre- and post-test scores were statistically significant, while the significance level was set at p < 0.05. All the analysis were conducted through SPSS.
Results: The post-test results showed significant improvements in students' knowledge of AI applications, with mean scores of 4.72 [AI in Diagnostics], 4.60 [AI in Treatment Planning], 4.80 [General Knowledge of AI], and 4.55 [Perceived Feasibility]. One-sample t-tests confirmed significant differences [p < 0.001] for all categories, indicating the effectiveness of the training.
Conclusion: The study concluded that AI applications can be effectively incorporated into the process of medical education.
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Yasir Khan
MBBS,CHPE,MHPE,CMEJ, Assistant Professor Medical Education, Department Of Medical Education , Saidu Medical College, Swat K.P ,Pakistan
Amjad Ali Khan
MBBS, CHPE, MHPE, Assistant Professor Medical Education, Department of Medical Education, Saidu Medical College, Swat K.P, Pakistan.
Irfana Bakhtyar
MBBS, MCPS, CHPE, MHPE (Scholar), Lecturer Medical Education, Department of Medical Education, Saidu Medical College, Swat K.P, Pakistan.
Imran Khan
MBBS,CHPE,M-Phil Physiology, Associate Professor Physiology Department, Saidu College of Dentistry, Swat K.P, Pakistan.
Anwar Ali
MBBS, CHPE, M-Phil Biochemistry, Associate Professor Biochemistry Department, Saidu Medical College, Swat K.P, Pakistan.
Faiza Shuaib
MBBS, MPH, MPhil Scholar (Biochemistry), Lecturer Biochemistry Department, Saidu Medical College, Swat K.P, Pakistan.