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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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Contenido proporcionado por Dev and Doc. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dev and Doc o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 episodios

Artwork
iconCompartir
 
Manage episode 428686726 series 3585389
Contenido proporcionado por Dev and Doc. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dev and Doc o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 episodios

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