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Morgan Cheatham Morgan Cheatham is an Influencer

Vice President at Bessemer Venture Partners | biotech, healthcare, AI | MD Candidate

Though benchmarks for medical AI are still imperfect, there's no question that AI will continue to march towards diagnostic excellence. These trends will place greater emphasis on physician-scientists – those who advance medical knowledge via closed loop clinic/lab interfaces, which can then feed back into large-scale AI systems that serve entire populations. This was all part of the OG vision for the learning health system. source: https://lnkd.in/eh2RM72s

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Ramiz Mammad Lee, MPA, PMP®

Business Growth Doctor | Numbers-Driven Accountability Coaching for Entrepreneurs, Small-Business Owners, and Startups.

2mo

Morgan, great insights! Let's connect!

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Umer Khan M.

Physician | Futurist | Angel Investor | Custom Software Development | Tech Resource Provider | Digital Health Consultant | YouTuber | AI Integration Consultant | In the pursuit of constant improvement

2mo

Couldn't agree more, Morgan Cheatham The synergy of AI and physician-scientists is key to transforming diagnostic capabilities and improving patient outcomes.

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Agreed👍🙏

Roupen Odabashian MD, FRCPC, ABIM

Hematology/Oncology physician @ Karmanos | Podcast Host | Talks about AI in Healthcare, Startups, MedTech and Oncology. Ideas are my own

2mo

You’ve nailed it—AI in diagnostics is pushing us toward a more integrated and iterative healthcare model.  Policy changes are needed to integrate AI diagnostic tools into clinical decision-making processes. Physicians should leverage AI capabilities to enhance their clinical decisions, leading to better diagnostic outcomes for patients. Without policy reform, physician adoption of AI will remain limited. Many doctors still haven't explored tools like ChatGPT in their practice.

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Dimeil Ushana

GTM | Partnerships | VC

2mo

💯

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Sydney Westrick

Private Equity Associate at KVLR Capital

2mo

AI in healthcare is exciting! But what about data privacy and patient trust? Something to think about 🤔

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Sam Qamar

🏴☠️Building a New Healthcare System for the People

2mo

With Huang’s Law that GPU performance will double every 15 months with a 10-fold boost every 50 months, the diagnostic capabilities of AI will soon be unrivaled. It’s why we’re building in this precise space.

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Andrei Georgescu, Ph.D.

Chief Executive Officer of Vivodyne

2mo

If there were no more advancements in AI, it would still take a decade or more for AI to see widespread use in clinical diagnosis (beyond experts that already interface with it). However, AI is moving at light speed and there is nowhere near enough time for an intermediate synergy to develop. The transition will be to a system where AI is using physicians as assistants, namely for sign-offs on diagnoses and treatments. Change & change management in healthcare is just too slow, and this transition will come instead through digital health companies that hire physicians directly and partner with the labs/diagnostics providers to which patients are referred, so the data from bloodwork/imaging is returned quickly and compatibly.

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Illai Gescheit

I advised 400+ founders 🙏🏼 Kindness is my strategy - Senior Advisor and Venture Partner to VCs and PEs | NED | Venture Capitalist | 4X Founder | Built 2XCVCs | Keynote Speaker (illaigescheit.com) | Linkedin Top Voice

2mo

100% - I also think that the element of physician trust in AI will accelerate quicker than we think and there is an element of user centred design that will go hand in hand with AI in health tech to enable that trust.

D. Langston

GP & Host at D. Langston

2mo

The evolution of AI in diagnostics is fascinating. How can physician-scientists best prepare to integrate AI advancements into their work?

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