Today’s guest is Dr. Jeremy Orr, CEO and Chief Medical Officer of Medial EarlySign, a company that hopes to create widespread AI and machine learning integration in diagnostics. Medial EarlySign aims to help their clients deliver better patient care by identifying individuals at risk of high burden disease who might benefit from the earlier detection of deterioration trajectories. They are leading the charge in augmenting healthcare providers and increasing automation in healthcare delivery. Dr. Orr joins us to discuss applying machine learning techniques to clinical data, how the success of their algorithms is measured, and the impediments they face in expanding AI adoption. Listen to the podcast to learn about: • What Medial EarlySign does • Applying machine learning techniques to clinical data • The Medial EarlySign mission: Aiming for early detection • The process of validating algorithms • FDA classification and interactions • The accuracy percentage of their current algorithm • How they aim to augment healthcare providers, not replace them • The process of incorporating more machine learning into diagnostics • How AI can impact chronic condition management • Friction points and resistance to AI • The importance of individualised, smooth workflow integration • Creating trust in machine learning • The high standards AI is held to and how it can cause distrust • Impediments to expanding adoption • The future of Medial EarlySign and machine learning in healthcare