Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in medical institute of Northern India - A cross sectional study

Abstract

Background: Artificial intelligence (AI) is transforming healthcare through advanced diagnostic, predictive, and decision-support capabilities. However, effective adoption depends on the knowledge, attitude, and practice (KAP) of medical professionals. Aim & Objective: “To assess the knowledge, attitudes, and practices regarding artificial intelligence among doctors and medical students in a tertiary care medical institute in Northern India.” Settings: The study was conducted at a tertiary care medical institute in Northern India, involving doctors and medical students affiliated with the institution during the study period. Study design: An institution-based cross-sectional study was carried out using the census method. Material & Method: The study was conducted among doctors and medical students of a tertiary care medical institute in Northern India given informed consent. Data were collected using a pre-tested, structured questionnaire assessing knowledge, attitudes, and practices regarding artificial intelligence.. Results: Of the participants, 88.5% were aware of AI, 72.1% knew of machine learning, and 29.2% had received formal training. Positive attitudes were prevalent—81.6% recognized AI’s importance in medicine, and 83.2% supported its diagnostic role. Only 60.3% had applied AI in professional contexts. Conclusion: While awareness and favorable perceptions of AI are high among healthcare professionals in Northern India, real-world application remains limited due to inadequate training and exposure.

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