A sco** review of using large language models (LLMs) to investigate electronic health records (EHRs)

L Li, J Zhou, Z Gao, W Hua, L Fan, H Yu… - ar** review on benefits, challenges and applications
K Moulaei, A Yadegari, M Baharestani… - International Journal of …, 2024 - Elsevier
Background Generative artificial intelligence (GAI) is revolutionizing healthcare with
solutions for complex challenges, enhancing diagnosis, treatment, and care through new …

Use of a large language model to assess clinical acuity of adults in the emergency department

CYK Williams, T Zack, BY Miao, M Sushil… - JAMA Network …, 2024 - jamanetwork.com
Importance The introduction of large language models (LLMs), such as Generative Pre-
trained Transformer 4 (GPT-4; OpenAI), has generated significant interest in health care, yet …

Enhancing postmarketing surveillance of medical products with large language models

ME Matheny, J Yang, JC Smith, CG Walsh… - JAMA Network …, 2024 - jamanetwork.com
Importance The Sentinel System is a key component of the US Food and Drug
Administration (FDA) postmarketing safety surveillance commitment and uses clinical health …

Understanding new machine learning architectures: practical generative artificial intelligence for anesthesiologists

CW Connor - Anesthesiology, 2024 - ingentaconnect.com
Recent advances in neural networks have given rise to generative artificial intelligence,
systems able to produce fluent responses to natural questions or attractive and even …

[HTML][HTML] Toward real‐world deployment of machine learning for health care: external validation, continual monitoring, and randomized clinical trials

H Yuan - Health Care Science, 2024 - pmc.ncbi.nlm.nih.gov
In this commentary, we elucidate three indispensable evaluation steps toward the real‐world
deployment of machine learning within the healthcare sector and demonstrate referable …

Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision Making

JO Deasy - Seminars in radiation oncology, 2024 - Elsevier
Radiotherapy aims to achieve a high tumor control probability while minimizing damage to
normal tissues. Personalizing radiotherapy treatments for individual patients, therefore …