Archive - AI for Healthcare

Understanding Reinforcement Learning from Human Feedback (RLHF)

Aligning AI models for healthcare

Feb 15 •

42:01

Overview of Existing Research of LLMs for Healthcare

Where we are and what is missing.

Feb 7 •

Research begins where hype ends

Festival of Genomics, LLaMA3, Code LLaMA, Gemini-Pro

Feb 1 •

18:04

January 2024

2024 AI Predictions: Ambient clinical intelligence, language models as commodities, GPT-5

A review of the happenings in 2023 and predictions for 2024

Jan 18 •

46:15

December 2023

The building blocks of AGI - Google's Gemini, OpenAI's Q*

What are we missing to achieve AGI - planning, multimodality, better reward functions, continuity, memory, emotions...

Dec 7, 2023 •

28:37

November 2023

A Blueprint for De-identification of Patient Records | Dev&Doc #09

How to deploy large language models to de-identify patient records and enable research and commercial use.

Nov 23, 2023 •

39:40

The State of Healthcare | Dev&Doc #08

7.5 Million patients are on waiting lists in the UK, and the rest of the world is not much better.

Nov 18, 2023 •

37:00

October 2023

Conversations on safety and risks of AI models | Dev&Doc #07

AI safety summit 2023

Oct 31, 2023 •

51:36

Large Multimodal Models in healthcare GPT-4V, PaLI-3, and Fuyu | Dev&Doc #06

Google, OpenAI, Adept, Microsoft, Meta and Open source

Oct 25, 2023 •

59:16

5 Tips for Doctors who want to get into AI | Dev&Doc #05

You can also listen to the episode on YouTube DevAndDoc and Spotify DevAndDoc In this episode, Josh (the doctor) and I talk about how doctors and other…

Oct 17, 2023 •

35:21

Healthcare 2.0: AI and Super Doctors | Dev&Doc #04

Listen now | From AI assistants to super doctors.

Oct 10, 2023 •

52:39

July 2023

Hospital wide Natural Language Processing | Part 1 - MIMIC III

Female vs Male and Young vs Old - the difference in physical and mental disease prevalence analysed on a dataset of ~40K critical care patients from…

Jul 3, 2023 •

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