Understanding the Trust Gap in Medical AI
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Understanding the Trust Gap in Medical AI
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Summary
Have you ever wondered why skepticism about artificial intelligence persists in healthcare, even as new AI tools are rapidly introduced? In this episode, Dr. Milan Toma, Associate Professor of Clinical Sciences at NYIT College of Osteopathic Medicine, explains the roots of distrust in clinical AI systems and what it takes to regain confidence. Drawing on decades of machine learning evolution, real-world case studies, and his own research experience, Dr. Toma discusses the dangers of overfitting, the importance of healthy training dynamics, and the vital role of collaboration between clinicians and developers. Tune in to learn how the healthcare community can move from skepticism to trust and ensure that AI serves the needs of both patients and professionals.