A survey of large language models in medicine: Progress, application, and challenge

H Zhou, B Gu, X Zou, Y Li, SS Chen, P Zhou… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs), such as ChatGPT, have achieved substantial attention due
to their impressive human language understanding and generation capabilities. Therefore …

Adapted large language models can outperform medical experts in clinical text summarization

D Van Veen, C Van Uden, L Blankemeier… - Nature medicine, 2024 - nature.com
Analyzing vast textual data and summarizing key information from electronic health records
imposes a substantial burden on how clinicians allocate their time. Although large language …

[HTML][HTML] Clinical text summarization: adapting large language models can outperform human experts

D Van Veen, C Van Uden, L Blankemeier… - Research …, 2023 - ncbi.nlm.nih.gov
Sifting through vast textual data and summarizing key information from electronic health
records (EHR) imposes a substantial burden on how clinicians allocate their time. Although …

A nationwide network of health AI assurance laboratories

NH Shah, JD Halamka, S Saria, M Pencina, T Tazbaz… - Jama, 2024 - jamanetwork.com
Importance Given the importance of rigorous development and evaluation standards
needed of artificial intelligence (AI) models used in health care, nationwide accepted …

Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations

Q Chen, J Du, Y Hu, VK Keloth, X Peng, K Raja… - arXiv preprint arXiv …, 2023 - arxiv.org
Biomedical literature is growing rapidly, making it challenging to curate and extract
knowledge manually. Biomedical natural language processing (BioNLP) techniques that …

Capabilities of gemini models in medicine

K Saab, T Tu, WH Weng, R Tanno, D Stutz… - arXiv preprint arXiv …, 2024 - arxiv.org
Excellence in a wide variety of medical applications poses considerable challenges for AI,
requiring advanced reasoning, access to up-to-date medical knowledge and understanding …

Clinfo. ai: An open-source retrieval-augmented large language model system for answering medical questions using scientific literature

A Lozano, SL Fleming, CC Chiang… - PACIFIC SYMPOSIUM …, 2023 - World Scientific
The quickly-expanding nature of published medical literature makes it challenging for
clinicians and researchers to keep up with and summarize recent, relevant findings in a …

Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages

P Garcia, SP Ma, S Shah, M Smith, Y Jeong… - JAMA Network …, 2024 - jamanetwork.com
Importance The emergence and promise of generative artificial intelligence (AI) represent a
turning point for health care. Rigorous evaluation of generative AI deployment in clinical …

Unifying corroborative and contributive attributions in large language models

T Worledge, JH Shen, N Meister… - … IEEE Conference on …, 2024 - ieeexplore.ieee.org
As businesses, products, and services spring up around large language models, the
trustworthiness of these models hinges on the verifiability of their outputs. However, methods …

Advancing multimodal medical capabilities of Gemini

L Yang, S Xu, A Sellergren, T Kohlberger… - arXiv preprint arXiv …, 2024 - arxiv.org
Many clinical tasks require an understanding of specialized data, such as medical images
and genomics, which is not typically found in general-purpose large multimodal models …