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Ran Shaul is the chief product officer and co-founder of K Health. With his robust background as a successful founder, Ran has been pivotal in transforming how we approach medical diagnostics and personalized treatment. Under his leadership, K Health has developed innovative AI-driven solutions, including a partnership with Cedars-Sinai and Mayo Clinic. Ran's dedication to improving the patient experience by leveraging technology is reshaping healthcare delivery, making it more efficient and accessible.
Host: Nathan Keller
Twitter: @NathanKellerX
Linkedin: https://www.linkedin.com/in/nathankeller1/
Producer: Saurin Kantesaria
Linkedin: Saurin Kantesaria
00:00 - Introduction
00:52 - What are 3 patient questions doctors and AI should help answer?
03:26 - Why does ChatGPT fall short in diagnosing patients?
07:30 - AI does the tedious stuff so doctors can focus on medicine (K Health’s model)
09:29 - Combing through 400,000,000 unstructured doctor’s notes
11:53 - How do you ask the right clinical questions with AI?
15:41 - Putting a clinician in the loop of AI learning
19:21 - “You can have the perfect algorithm…it does not mean it will be used properly in any clinical setting”
23:27 - The difficulties transitioning from leading a startup to a larger company
26:56 - Telemedicine 2.0 - integrating 24/7 online care with brick and mortar hospitals (Cedars-Sinai Virtual Platform)
31:32 - AI can go further than notes - helping physicians proactively manage patients
39:07 - What gives your life meaning?
42:56 - What advice do you have for young people?
5
2626 ratings
Ran Shaul is the chief product officer and co-founder of K Health. With his robust background as a successful founder, Ran has been pivotal in transforming how we approach medical diagnostics and personalized treatment. Under his leadership, K Health has developed innovative AI-driven solutions, including a partnership with Cedars-Sinai and Mayo Clinic. Ran's dedication to improving the patient experience by leveraging technology is reshaping healthcare delivery, making it more efficient and accessible.
Host: Nathan Keller
Twitter: @NathanKellerX
Linkedin: https://www.linkedin.com/in/nathankeller1/
Producer: Saurin Kantesaria
Linkedin: Saurin Kantesaria
00:00 - Introduction
00:52 - What are 3 patient questions doctors and AI should help answer?
03:26 - Why does ChatGPT fall short in diagnosing patients?
07:30 - AI does the tedious stuff so doctors can focus on medicine (K Health’s model)
09:29 - Combing through 400,000,000 unstructured doctor’s notes
11:53 - How do you ask the right clinical questions with AI?
15:41 - Putting a clinician in the loop of AI learning
19:21 - “You can have the perfect algorithm…it does not mean it will be used properly in any clinical setting”
23:27 - The difficulties transitioning from leading a startup to a larger company
26:56 - Telemedicine 2.0 - integrating 24/7 online care with brick and mortar hospitals (Cedars-Sinai Virtual Platform)
31:32 - AI can go further than notes - helping physicians proactively manage patients
39:07 - What gives your life meaning?
42:56 - What advice do you have for young people?
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