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. Data from Northern India on this subject remain limited.

Aim & Objective:
To assess the KAP regarding AI among doctors and medical students in a tertiary care medical institute in Northern India.

Settings & Design:
Institution-based cross-sectional, census-method study.

Material & Method:
A pre-tested structured questionnaire captured demographic details and KAP data: knowledge (7 items), attitude (8 items), and practice (5 items). Incompletely filled responses and participants unavailable after two contact attempts were excluded.

Statistical Analysis:
Descriptive statistics were used to summarize findings as percentages. Chi-square test examined associations between designation and KAP scores; p?<?0.05 was considered statistically significant.

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. Knowledge and attitude scores rose significantly with designation, with professors demonstrating the highest levels (p?<?0.05); practice scores, however, were uniformly lower.

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. Incorporating structured AI education and practical modules into medical curricula is essential to bridge this implementation gap.