Doug Hohulin hosted our online session and had Dr. Harvey Castro MD give a presentation.
The meeting discussed the integration of Artificial Intelligence (AI) and Extended Reality (XR) in healthcare, emphasizing the benefits of combining AI for intelligence processes with XR for immersive visuals to enhance learning and potentially gamify experiences. The conversation also touched on the potential of AI to improve healthcare outcomes and reduce medical errors. Doug Hohulin shared insights on AI and XR integration in healthcare, focusing on responsible AI, automated connected vehicles, and healthcare solutions to reduce medical errors. The discussion also covered the impact of generative AI on efficiency gains, time savings, and its projected contribution to the world GDP in the next five years. Additionally, there was exploration on how AI can complement healthcare services, reduce clinician burnout, provide second opinions, and assist in patient care management. The meeting also delved into leveraging AI in healthcare for quality care, addressing the aging population, reducing deaths significantly, and helping in areas like traffic deaths and medical errors. Furthermore, the conversation included the use of AI in medical diagnosis, the role of AI in medicine, reinforced learning in healthcare, integration of augmented reality in healthcare, resistance to AI in medicine, integration of AI in medical practice, improving healthcare diagnosis and technology adoption, integration of AI in mental health care, and the integration of wearables and AI in healthcare. Lastly, there was a discussion on venture investing in healthcare technology startups, emphasizing the importance of domain knowledge, managing risks, dealing with regulatory bodies like the FDA, and the support needed for successful companies.
Topics & Highlights
1. Integration of AI and XR in Healthcare
The discussion highlighted the benefits of combining AI and XR in healthcare to create a more immersive and effective learning experience, emphasizing the potential for gamification to enhance learning and exploration.
2. Impact of Generative AI on Efficiency and GDP
efficiency gains and time savings from using generative AI, citing examples from studies by Salesforce and Boston Consulting. Accenture's projection of generative AI's impact on world GDP was also mentioned.
Further discussion on the potential growth of generative AI usage, its impact on various sectors like healthcare, and the projection of a billion people using immersive devices in the metaverse.
3. Role of AI in Healthcare and Patient Treatment
potential of AI in healthcare, addressing issues like clinician burnout, patient treatment, second opinions, and AI's role in complementing healthcare services.
4. Utilizing AI in Healthcare for Quality Care and Wellness Improvement
potential of using AI in healthcare to improve quality care, reduce deaths significantly, and address challenges like traffic deaths and medical errors.
5. AI Applications in Medical Diagnosis
AI assisted in diagnosing Tethered Cord Syndrome after multiple misdiagnoses, highlighting the potential of AI in medical diagnosis.
6. Role of AI in Medicine
Discussion on the advancements in AI for medical applications, including predictive analytics and the transition from evidence-based medicine to intelligence-based medicine.
7. Reinforced Learning in Healthcare
importance of reinforced learning in healthcare, the need for specific language models, and the potential applications of bots and AI in personalized patient care.
Further discussion on medical training using VR technology for anatomy learning, procedures, and simulations in healthcare.
8. Integration of Augmented Reality in Healthcare
benefits of using AR glasses in healthcare, such as accessing patient data, visualizing medical images, educating patients, and enhancing workflow. He mentions the cost of the Apple Vision Pro and its impact on different healthcare departments.
experiences with AI technologies like ChatGPT-4 and its applications in healthcare, including diagnosing medical conditions, analyzing images, creating podcasts, and improving efficiency.
9. Integration of AI in Healthcare
concerns about the resistance from doctors towards adopting AI in healthcare due to fears of obsolescence, changes in processes, and compensation issues.
importance of gradual education and implementation of AI in healthcare to address doctors' concerns and ensure a positive reception, emphasizing the need for experts like himself to guide and educate healthcare professionals.
10. Resistance to AI in Medicine
The participants discussed the challenges of convincing doctors to accept AI due to pride, competition, and territorial behavior. Harvey shared experiences of making doctors feel dumb to eventually gain their respect. Doug mentioned patients' fear of AI similar to vaccine hesitancy.
11. Integration of AI in Medical Practice
The participants emphasized the importance of making the best first opinion in patient care. They discussed the potential motivators for integrating AI in medical practice, including improved diagnostics and mitigating medical practice insurance risks.
12. Improving Healthcare Diagnosis and Technology Adoption
concerns about misdiagnosis by doctors, the slow adoption of technology in healthcare, and the potential risks of over-reliance on AI in patient care.
Discussion on the potential risks of excessive reliance on AI in mental health care, highlighting the importance of human-to-human connections and the need for a human in the loop to prevent adverse outcomes.
Discussion on the importance of maintaining a balance between AI and human interaction in mental health care, emphasizing the need for human oversight in AI-driven patient interactions.
13. Integration of AI in Mental Health Care
concerns about patients relying on AI like Dr. Google and Dr. ChatGPT for medical advice, highlighting the importance of proper medical training and supervision.
Agreement that AI tools should supplement, not replace, human medical care.
14. Integration of Wearables and AI in Healthcare
Discussion on the significance of HIPAA compliance for healthcare apps and the use of on-device AI for enhanced security and user comfort.
