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#22: AI in Healthcare: Trust, Adoption & the "Last Mile" - Pelu Tran

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Вміст надано The Deep View. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією The Deep View або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

In this episode of The Deep View Conversations, we dive into the complex intersection of artificial intelligence and healthcare with Pelu Tran, co-founder and CEO of Ferrum Health. Pelu shares his deeply personal motivation behind founding Ferrum, why AI adoption in healthcare is slow, and how Ferrum aims to solve the “last mile” problem of bringing AI into clinical practice.

We explore everything from trust in algorithms, systemic challenges, and outdated infrastructure to the ethical implications of AI in medicine and the risk of over-efficiency. If you’re curious about the real-world application of AI in hospitals and how to bridge the gap between innovation and implementation, this is a must-listen.

Outline:

00:00 – Intro: AI and healthcare — promise vs. reality
01:00 – Meet Pelu Tran, CEO of Ferrum Health
03:10 – A personal tragedy leads to a mission: Ferrum’s origin
07:00 – The real reason AI adoption is slow in hospitals
10:00 – Infrastructure, security & why hospitals still use fax machines
13:30 – What Ferrum Health actually does
16:10 – Why FDA clearance isn’t enough for AI trust
19:00 – Ferrum’s approach: Validating models with AI itself
22:30 – AI performance drift & automated monitoring
25:00 – Diagnostic tools, LLMs, and AI's current limitations
28:40 – The illusion of language fluency and AI “hallucinations”
31:00 – Burnout, administrative burden & where AI helps
34:30 – Will AI speed things up or make hospitals worse?
38:00 – Hospital incentives & risks of productivity pressure
41:10 – AI replacing admin, not doctors (yet)
44:10 – Communicating AI performance to clinicians
47:30 – Measuring outcomes, not just accuracy
50:00 – Trust, governance, and safe deployment
53:15 – Why flexibility is key for AI in healthcare
56:00 – The future: Safe disruption vs. blind disruption
59:00 – Will AI replace doctors? Why not anytime soon
1:01:00 – Final thoughts: AI’s promise and pitfalls

Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe)

Connect with us on X, TikTok and Instagram.

Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations we break it all down, cutting through the hype to make clear what's important and why you should care.

  continue reading

27 епізодів

Artwork
iconПоширити
 

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Manage episode 485040580 series 3601571
Вміст надано The Deep View. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією The Deep View або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

In this episode of The Deep View Conversations, we dive into the complex intersection of artificial intelligence and healthcare with Pelu Tran, co-founder and CEO of Ferrum Health. Pelu shares his deeply personal motivation behind founding Ferrum, why AI adoption in healthcare is slow, and how Ferrum aims to solve the “last mile” problem of bringing AI into clinical practice.

We explore everything from trust in algorithms, systemic challenges, and outdated infrastructure to the ethical implications of AI in medicine and the risk of over-efficiency. If you’re curious about the real-world application of AI in hospitals and how to bridge the gap between innovation and implementation, this is a must-listen.

Outline:

00:00 – Intro: AI and healthcare — promise vs. reality
01:00 – Meet Pelu Tran, CEO of Ferrum Health
03:10 – A personal tragedy leads to a mission: Ferrum’s origin
07:00 – The real reason AI adoption is slow in hospitals
10:00 – Infrastructure, security & why hospitals still use fax machines
13:30 – What Ferrum Health actually does
16:10 – Why FDA clearance isn’t enough for AI trust
19:00 – Ferrum’s approach: Validating models with AI itself
22:30 – AI performance drift & automated monitoring
25:00 – Diagnostic tools, LLMs, and AI's current limitations
28:40 – The illusion of language fluency and AI “hallucinations”
31:00 – Burnout, administrative burden & where AI helps
34:30 – Will AI speed things up or make hospitals worse?
38:00 – Hospital incentives & risks of productivity pressure
41:10 – AI replacing admin, not doctors (yet)
44:10 – Communicating AI performance to clinicians
47:30 – Measuring outcomes, not just accuracy
50:00 – Trust, governance, and safe deployment
53:15 – Why flexibility is key for AI in healthcare
56:00 – The future: Safe disruption vs. blind disruption
59:00 – Will AI replace doctors? Why not anytime soon
1:01:00 – Final thoughts: AI’s promise and pitfalls

Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe)

Connect with us on X, TikTok and Instagram.

Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations we break it all down, cutting through the hype to make clear what's important and why you should care.

  continue reading

27 епізодів

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