Researchers have developed two distinct approaches utilizing large language models (LLMs) in the medical field. The first, HealMed, is a new benchmark designed for multilingual evaluation of LLMs in medicine, featuring 1,000 examples across nine languages and developed by 23 medical experts. The second approach uses LLMs as synthetic clinical experts to improve longitudinal modeling of rare diseases, specifically demonstrating success in predicting motor function milestones for children with spinal muscular atrophy by integrating LLM-derived clinical knowledge into a variational autoencoder. AI
IMPACT LLMs show promise in both evaluating medical knowledge across languages and enhancing rare disease modeling with synthetic clinical expertise.
RANK_REASON Two research papers published on arXiv detailing novel applications of LLMs in medicine.
- alphaXiv
- arXiv
- CatalyzeX
- Clemens Schächter
- DagsHub
- Gotit.pub
- Hugging Face
- large language models
- spinal muscular atrophy
- variational autoencoder
- HealMed
- medicine
- ScienceCast
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