Summary of Unlocking Historical Clinical Trial Data with Align: a Compositional Large Language Model System For Medical Coding, by Nabeel Seedat et al.
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
by Nabeel Seedat, Caterina Tozzi, Andrea Hita Ardiaca, Mihaela van der Schaar, James Weatherall, Adam Taylor
First submitted to arxiv on: 20 Nov 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces ALIGN, a novel compositional Large Language Model (LLM)-based system for automated, zero-shot medical coding. The system follows a three-step process: diverse candidate code generation, self-evaluation of codes, and confidence scoring with uncertainty estimation to enable human deferral for reliability. The authors evaluate ALIGN on harmonizing medication terms into Anatomical Therapeutic Chemical (ATC) and medical history terms into Medical Dictionary for Regulatory Activities (MedDRA) codes extracted from 22 immunology trials. ALIGN outperforms LLM baselines, providing capabilities for trustworthy deployment. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper talks about a new tool called ALIGN that helps make old clinical trial data useful again. This is important because it can speed up medical research and drug development. The problem is that different studies use different codes to describe the same things, so it’s hard to combine the data. ALIGN uses a special type of artificial intelligence called Large Language Models (LLMs) to help solve this problem. It works by generating lots of possible codes, then checking them to see if they’re correct, and finally picking the best ones. The authors tested ALIGN on some old clinical trial data and it worked really well. |
Keywords
» Artificial intelligence » Large language model » Zero shot
