ArticleJournal of pathology and translational medicine2025
Attitudes toward artificial intelligence in pathology: a survey-based study of pathologists in northern India.
Article in Journal of pathology and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- The Practice of Cytopathology in India: Insights From a 2025 Nationwide Survey.Diagnostic cytopathology · 2026Article
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Authors and funding
5 authors.
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Abstract
backgroundArtificial intelligence (AI) is transforming pathology by enhancing diagnostic accuracy, efficiency, and workflow standardization. Despite its growing presence, AI adoption remains limited, particularly in resource-constrained settings like India. This study assessed the knowledge, awareness, and perceptions of AI among pathologists in Northern India.
methodsA cross-sectional survey was conducted among 138 practicing pathologists in Northern India between April and June 2024. A structured online questionnaire was used to collect data on demographics, AI awareness, self-reported knowledge, sources of AI education, technological proficiency, and interest in AI-related training programs. Data analysis included descriptive statistics and chi-square tests, with p < .05 considered statistically significant.
resultsAI awareness was high (88.4%), with significant sex differences (93.5% in females vs. 78.3% in males, p = .008). However, formal AI training was limited (6.5%), and only 16.7% had used AI as a diagnostic tool. Academic pathologists were more likely to engage with AI literature than their non-academic counterparts (p = .003). Interest in AI workshops was strong (92.8%). Access to whole slide imaging (WSI) correlated with higher AI knowledge (p = .008), as did self-reported technological proficiency (p = .001).
conclusionsDespite high AI awareness among pathologists, significant gaps remain in training, infrastructure, and practical application. Expanding access to digital pathology tools like WSI and improving digital literacy could facilitate AI adoption. Structured educational programs and greater investment in digital infrastructure are crucial for integrating AI into pathology practice.
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