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#03 We trained an AI to diagnose like a doctor. Using GPT to predict a patient's future

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Manage episode 428686726 series 3585389
Content provided by Dev and Doc. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dev and Doc or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

What does it mean for a doctor to diagnose a patient? Can an AI (GPT model) learn to diagnose a patient, and even out-diagnose a doctor? Can we use AI to predict the future?

Try the Foresight GPT demo here: foresight.sites.er.kcl.ac.uk

Like what you're hearing? Support us by subscribing and reaching out to us. We want to encourage open discussion between clinicians and developers.

Dev&Doc is a podcast where doctors and developers deep dive into the potential of AI in healthcare.

👨🏻‍⚕️Doc - Dr. Joshua Au Yeung

🤖Dev - Zeljko Kraljevic

LinkedIn Newsletter

YouTube

Spotify

Apple

Substack

For enquiries - 📧 Devanddoc@gmail.com

Timestamps: 00:00 Start 00:49 Intro 02:18 How does a doctor diagnose? 06:27 LLM trained on medical school vs real clinical scenarios 10:54 Do you have time to see every patient (in detail)? 13:44 A doctor's day 22:28 Which doctor's jobs can be automated? 27:41 When you train models on the wrong goal (misalignment) 31:01 Low hanging fruit - GPT / LLM text summarisation , administrative tasks 37:25 What tools are helping doctors right now? 40:35 How does a doctor prognosticate? How are risk scores created? 49:05 Foresight- Using AI to Predict the Future 58:31 GPT graduates from medical school. GPT starts working in a hospital 1:02:25 Why are big tech not building the next real-world medical LLM? 1:04:44 Using AI to predict the future. Foresight GPT demo 1:10:18 predict diagnosis respiratory infections, COVID-19 1:11:40 predicting obstructive sleep apnoea 1:14:12 predicting polycystic kidney disease 1:18:01 wrap up

🎞️ Editor - Dragan Kraljević

🎨 Brand design and art direction - Ana Grigorovici

  continue reading

24 episodes

Artwork
iconShare
 
Manage episode 428686726 series 3585389
Content provided by Dev and Doc. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dev and Doc or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

What does it mean for a doctor to diagnose a patient? Can an AI (GPT model) learn to diagnose a patient, and even out-diagnose a doctor? Can we use AI to predict the future?

Try the Foresight GPT demo here: foresight.sites.er.kcl.ac.uk

Like what you're hearing? Support us by subscribing and reaching out to us. We want to encourage open discussion between clinicians and developers.

Dev&Doc is a podcast where doctors and developers deep dive into the potential of AI in healthcare.

👨🏻‍⚕️Doc - Dr. Joshua Au Yeung

🤖Dev - Zeljko Kraljevic

LinkedIn Newsletter

YouTube

Spotify

Apple

Substack

For enquiries - 📧 Devanddoc@gmail.com

Timestamps: 00:00 Start 00:49 Intro 02:18 How does a doctor diagnose? 06:27 LLM trained on medical school vs real clinical scenarios 10:54 Do you have time to see every patient (in detail)? 13:44 A doctor's day 22:28 Which doctor's jobs can be automated? 27:41 When you train models on the wrong goal (misalignment) 31:01 Low hanging fruit - GPT / LLM text summarisation , administrative tasks 37:25 What tools are helping doctors right now? 40:35 How does a doctor prognosticate? How are risk scores created? 49:05 Foresight- Using AI to Predict the Future 58:31 GPT graduates from medical school. GPT starts working in a hospital 1:02:25 Why are big tech not building the next real-world medical LLM? 1:04:44 Using AI to predict the future. Foresight GPT demo 1:10:18 predict diagnosis respiratory infections, COVID-19 1:11:40 predicting obstructive sleep apnoea 1:14:12 predicting polycystic kidney disease 1:18:01 wrap up

🎞️ Editor - Dragan Kraljević

🎨 Brand design and art direction - Ana Grigorovici

  continue reading

24 episodes

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