
This episode, we discuss some of the challenges in using large language models (LLMs) for the task of summarising inpatient encounters.
- 00:30 - Technical wrap - new models, MiT’s State of AI in Business 2025
- 12:40 - Medical summarisation
- 19:30 - Context Rot: How Increasing Input Tokens Impacts LLM Performance
- 30:50 - Verifiable Summarization of Electronic Health Records Using Large Language Models to Support Chart Review
- 40:00 - Evaluating large language models for drafting emergency department encounter summaries
- 42:25 - Evaluating Hospital Course Summarization by an Electronic Health Record-Based Large Language Model
More details in the show notes on our website.
Version: 20241125
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