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REVIEW ARTICLE

Retrieval-augmented generation and agentic AI in healthcare: Applications, challenges, and future directions

Bihong Zhu, Xin Kang, Kazuyuki Matsumoto, Minoru Yoshida
Artificial Intelligence in Health, 026170040 https://doi.org/10.36922/AIH026170040
ORIGINAL RESEARCH ARTICLE

Reducing cognitive load in polypharmacy: A prototype clinical decision support system

Insiya Fatma, Mary A. Dolansky, Evelyn G. Duffy, Colin K. Drummond
Artificial Intelligence in Health, 026170039 https://doi.org/10.36922/AIH026170039
ORIGINAL RESEARCH ARTICLE

Open-weight large language models for visceral leishmaniasis: Comparative diagnostic accuracy of seven locally-deployed models

Aline Rafaela Soares da Silva, Dino Schwingel, Samuel Ricarte de Aquino, Adrillany da Costa Santos, ... Paulo Adriano Schwingel
Artificial Intelligence in Health, 026190041 https://doi.org/10.36922/AIH026190041
REVIEW ARTICLE

Application and design of artificial intelligence in computer-aided drug design for ischemic stroke

Shutong Pang, Yuehui Liao, Yu Hu, Yu Chen, ... Panfei Li
Artificial Intelligence in Health, 026170038 https://doi.org/10.36922/AIH026170038
ORIGINAL RESEARCH ARTICLE

Knowledge-constrained neural additive modeling for hypoglycemia risk stratification in older adults with type 2 diabetes

Zheng Rong, Hui Si, Wei Bai, Difei Wang, ... Xin Hou
Artificial Intelligence in Health, 026130031 https://doi.org/10.36922/AIH026130031
ORIGINAL RESEARCH ARTICLE

A clinically weighted loss function for risk-sensitive blood glucose forecasting

Joseph Passant, Andrea Corradini
Artificial Intelligence in Health, 026030003 https://doi.org/10.36922/AIH026030003
ORIGINAL RESEARCH ARTICLE

Medical multimodal entity linking under modality missingness

Shiji Zang, Chenyang Bu, Yunpeng Hong, He Ren, Weiping Ding
Artificial Intelligence in Health, 026070015 https://doi.org/10.36922/AIH026070015
BRIEF REPORT

A scope of the literature on artificial intelligence in oncology

Myung Sun Kim, Rajat Thawani, Alyson Hazlam, Yulin Hswen
Artificial Intelligence in Health, 026030004 https://doi.org/10.36922/AIH026030004
ORIGINAL RESEARCH ARTICLE

Enhancing medical data quality using hybrid machine learning models: A comparative study of isolation forest and support vector machine on numerically encoded clinical text

Raed Abdullah Althabeti, Ebeid Ali Ebeid, Hany Maher Sayed Lala, Kamal Abdelraouf Eldahshan
Artificial Intelligence in Health, 026080021 https://doi.org/10.36922/AIH026080021
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Artificial Intelligence in Health, Electronic ISSN: 3029-2387 Print ISSN: 3041-0894, Published by AccScience Publishing