Objectives: To assess the knowledge and education about artificial intelligence (AI) among medical students in India. Materials and methods: A web-based questionnaire was designed using Survey Monkey and sent via WhatsApp to second and third-year medical students of three premier medical institutions of India. The questionnaire consisted of ten questions aiming to assess the knowledge and education related to AI and computer language in medical field. The inclusion was voluntary with prior intimation that the results can be used for analysis. Results: A total of 226 students responded to the survey, out of these 115 were boys and 111 were girls with a median age of 20 years. Majority of the students had heard about AI (62.5%) and internet was the main source of information for them. Unfortunately, none wanted to pursue their career in AI. 85.9% students showed interest to learn more about AI, although knowledge about any computer language was lacking in 73% students. 73.4% students were also unaware about journals and publications going on in the field of AI. However, 89.1% students were optimistic about scope of integration of AI in medicine. For all the responses, there was no significant difference between boys and girls. Conclusion: This brief survey highlights that although our medical students are not fully aware about AI and its applications, yet they are keen to learn more about AI and its associated computer logistics. They also understand the potential of AI in medical science which is why the present medical curriculum needs to be AI-oriented.
Objectives: To understand statistical literacy among practicing clinicians as well as to take suggestions on its implementation in medical curriculum. Methods: A web based online survey was conducted among practising clinicians of India. The questionnaire consisted of 30questions in three parts. Part A included questions on general information (5 questions), Part B included questions on application of statistical concepts (20 questions), and Part Casked for opinions on integration of biostatistics in medical curriculum (5 questions). Part B questions were rated on a 5-point Likert scale in which 1 indicated no confidence and 5indicated complete confidence. Results: A total of 416 clinicians responded to the questionnaire. Complete confidence in the use of SPSS software was seen in 15.8% whereas 26.7% had no confidence in it. The highest confidence was seen in statistical equations like graphical representation of data (44.7%), and sensitivity and specificity (45.2%) whereas lowest confidence was seen in COX proportional hazard regression (12.9%) and ROC curves (11.7%). Out of 416 clinicians, 136 (32.4%) had done training in statistics at undergraduate level, 128 (30.5%) did self-learning and 152 (37.1%) had received no formal training.
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