36 citations · 87 across the 8 of their papers we have counts for
4 papers · 1 filter
Best Practices for Large Language Models in Radiology
Christian Bluethgen, Dave Van Veen, Cyril Zakka +7
At the heart of radiological practice is the challenge of integrating complex imaging data with clinical information to produce actionable insights. Nuanced application of language…
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation
Cyril Zakka, Joseph Cho, Gracia Fahed +9
Clinicians spend large amounts of time on clinical documentation, and inefficiencies impact quality of care and increase clinician burnout. Despite the promise of electronic medica…
Assessing The Potential Of Mid-Sized Language Models For Clinical QA
Elliot Bolton, Betty Xiong, Vijaytha Muralidharan +4
Large language models, such as GPT-4 and Med-PaLM, have shown impressive performance on clinical tasks; however, they require access to compute, are closed-source, and cannot be de…
BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga +8
Models such as GPT-4 and Med-PaLM 2 have demonstrated impressive performance on a wide variety of biomedical NLP tasks. However, these models have hundreds of billions of parameter…