
CASE DISCUSSION
AI in Diagnostics
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Case Description
Artificial Intelligence is transforming the landscape of diagnostics by enhancing accuracy, speed, and clinical decision-making across medical specialties. This session will explore the practical applications of AI in medical imaging, pathology, laboratory medicine, and predictive analytics....
Case Summary
- Artificial intelligence is currently revolutionizing diagnostic workflows in resource-constrained environments, addressing significant disparities in healthcare access and professional shortages. In India and other low-to-middle-income regions, a severe lack of radiologists and pathologists has historically hindered early detection, particularly for conditions such as breast and cervical cancer, and tuberculosis. AI integration provides a scalable solution by functioning as a clinical co-pilot across three primary diagnostic pillars: medical imaging, pathology, and reporting.
Speaker Profile

Dr. Rishab Kapoor
AI in HealthFounder & CEO, ReliOn Diagnostics, New Delhi
Disclosures
Assimilate by Medvarsity requires every individual in a position to control educational content to disclose all financial relationships with ineligible companies that have occurred within the past 24 months. Ineligible companies are organizations whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients. All relevant financial relationships for anyone with the ability to control the content of this educational activity have been reviewed and mitigated. Others involved in the planning of this activity have no relevant financial relationships.