As The Rush Toward Ai In Healthcare Continues, Explainability Is

Neeraj Mainkar, vice president of software engineering and advanced technology at Proprio, discusses the importance of explainability in AI for healthcare. He explains that in simpler AI models, understanding the decision-making process is straightforward, but in more complex deep learning models, it becomes more difficult. Mainkar emphasizes the need for explainability in order to ensure patient safety and trust, identify errors, comply with regulations, and maintain ethical standards.