E52: 40% OF CANCER PATIENTS DON'T FINISH TREATMENT. THYME CARE IS FIXING THAT.

E54: The Future of AI Scribes for Doctors

Summary In this episode, Dr. Ed Lee, Chief Medical Officer of NABLA, discusses the rapid growth of AI scribes in healthcare, market dynamics, and future innovations like agentic AI. He shares insights on distribution strategies, market challenges, and the potential impact of AI on clinical workflows and patient care. Key Topics * Rapid growth of AI scribes in healthcare * Market challenges with EHR giants like Epic * Future of agentic AI and automation in healthcare * Global expansion and market strategy * Physician workflow and AI integration

E53: The Unlocked Door: AI, Identity, and Healthcare's Security Blind Spot

Summary This episode explores the rapid adoption of AI in healthcare, focusing on data privacy, security risks, and innovative solutions for identity management. Guest Joel Burleson-Davis, CTO of Imprivata, shares insights on making healthcare data access seamless and secure amidst technological advances. hapters 00:00 The Rapid Adoption of AI in Healthcare 05:23 Streamlining Clinician Workflows with Technology 09:22 Patient Data Management Challenges 12:15 Navigating New Risks with AI Adoption 16:40 Practical Advice for Healthcare Leaders 19:27 The Future of Access Management in Healthcare

E52: 40% OF CANCER PATIENTS DON'T FINISH TREATMENT. THYME CARE IS FIXING THAT.

Summary In this conversation, Katharina Juenger speaks with Bobby Green about the complexities of cancer care and the innovative solutions being developed to improve patient experiences. They discuss the challenges faced by oncology patients, the role of technology and AI in transforming cancer treatment, and the future of cancer management as a chronic disease. Bobby shares insights from his extensive experience in oncology and the founding of Thyme Care, a navigation service aimed at bridging gaps in patient care. Chapters 00:00 Navigating the Complexities of Cancer Care 08:14 The Role of Technology in Oncology 16:05 AI's Transformative Potential in Cancer Treatment 22:01 The Future of Cancer Management https://www.thymecare.com/

E51: THE FIRST GENERATIVE AI MODEL IN RADIOLOGY

Summary This episode explores the future of AI in radiology, focusing on building trustworthy, clinically validated models that can expand capacity and improve accuracy. Guest Louis Blankemeier shares insights on developing self-driving radiology AI, prospective testing, and the impact of FDA breakthrough designations. Key topics 1. Building clinically validated radiology AI 2. Prospective testing and validation in healthcare 3. Impact of FDA breakthrough designation on AI development 4. The evolution of AI models from narrow classifiers to foundational models 5. Future role of radiologists in AI-augmented healthcare Guest name Louis Blankemeier, Co-Founder & CEO of cognita.ai Chapters 00:00 The State of AI in Radiology 06:05 Building Trustworthy AI Tools 11:07 Human-AI Collaboration in Radiology 13:31 Validation and Breakthroughs in AI 17:11 The Future of Radiology and AI 1. Cognita [https://cognita.ai] 2. Radiology Partners [https://www.radiologypartners.com/] 3. FDA Breakthrough Devices Program [https://www.fda.gov/medical-devices/how-study-and-market-your-device/breakthrough-devices-program]

E50: ROBOTS ARE COMING IN ORTHOPEDIC SURGERY

Summary In this conversation, Dr. Ronald Navarro discusses the evolving landscape of orthopedic surgery in the context of robotics and AI. He explores the advancements in humanoid robots, the integration of robotic technology in surgical procedures, and the implications for patient care and surgeon training. The dialogue emphasizes the balance between experience and technology, the potential impact of robotics on patient demographics, and the future of healthcare as a collaborative effort between humans and machines. Takeaways 1. The future of physical labor may involve robots handling heavy tasks. 2. Humanoid robots like Tesla Optimus are being developed for human environments. 3. Robotics in surgery is evolving, particularly in orthopedics. 4. Experience in surgery remains crucial despite technological advancements. 5. Younger surgeons are more inclined to use robotic assistance than older ones. 6. The demand for orthopedic services is expected to grow, not decline. 7. AI can enhance surgical training and patient care. 8. Robots may change the nature of injuries and patient demographics. 9. Training the next generation of surgeons must include AI literacy. 10. AI can assist in injury detection in sports medicine. Chapters 00:00 The Future of Physical Labor and Robotics 01:01 Advancements in Humanoid Robots 08:20 The Role of Experience vs. Technology in Surgery 12:09 The Impact of Aging Population on Orthopedic Surgery 15:46 Training the Next Generation of Physicians 20:33 Conclusion and Future Outlook