activity
20242026
most citedToward Global Large Language Models in Medicine

1 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

cs.AI20261 cited

CPGPrompt: Translating Clinical Guidelines into LLM-Executable Decision Support

Ruiqi Deng, Geoffrey Martin, Tony Wang +6

Clinical practice guidelines (CPGs) provide evidence-based recommendations for patient care; however, integrating them into Artificial Intelligence (AI) remains challenging. Previo…

cs.CL20261 cited

Toward Global Large Language Models in Medicine

Rui Yang, Huitao Li, Weihao Xuan +47

Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LLMs) has transformed…

cs.CL2025

EvidenceOutcomes: a Dataset of Clinical Trial Publications with Clinically Meaningful Outcomes

Yiliang Zhou, Abigail M. Newbury, Gongbo Zhang +4

The fundamental process of evidence extraction and synthesis in evidence-based medicine involves extracting PICO (Population, Intervention, Comparison, and Outcome) elements from b…

cs.CL2025

Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review

Zihan Xu, Haotian Ma, Gongbo Zhang +3

Evidence-based medicine (EBM) is at the forefront of modern healthcare, emphasizing the use of the best available scientific evidence to guide clinical decisions. Due to the sheer…

cs.LG2025

Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review

Yuhan Zhang, Yishu Wei, Yanshan Wang +10

Suicide remains one of the main preventable causes of death among active service members and veterans. Early detection and prediction are crucial in suicide prevention. Machine lea…

cs.HC2025

WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch

Ying Lei, Yancheng Cao, Will Wang +13

While just-in-time interventions (JITIs) have effectively targeted common health behaviors, individuals often have unique needs to intervene in personal undesirable actions that ca…