A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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A review of large language models like ChatGPT in medicine, covering their capabilities, applications, and challenges in clinical practice.
Nancy A. Obuchowski, Jennifer Bullen
This paper reviews ROC analysis methods for diagnostic tests, covering study design, sample size, statistical methods, software, and common biases, illustrated with a breast lesion study.
J. Clusmann, F. Kolbinger, H. Muti, et al.
This paper reviews the current and future applications of large language models in medicine, discussing their potential to transform clinical practice, education, and research while highlighting challenges and limitations.
Yadi Zhou, Yuan Hou, Jiayu Shen, et al.
This paper presents a network-based drug repurposing methodology using systems pharmacology and network medicine to identify 16 potential anti-HCoV drugs and three drug combinations targeting 2019-nCoV/SARS-CoV-2.
Swen Hoelder, Paul A. Clarke, Paul Workman
This review outlines contemporary approaches to small molecule cancer drug discovery, emphasizing target validation, lead optimization, and biomarker-driven trials to reduce attrition and advance personalized medicine.
Yadi Zhou, Fei Wang, Jian Tang, et al.
This review provides guidelines on using AI and network medicine for drug repurposing, exemplified by COVID-19, emphasizing reduced timelines and costs.
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, et al.
This exploratory case study evaluates the quality of simplified radiology reports generated by ChatGPT, finding that while most radiologists rated them factually correct and complete, instances of errors and potential harm remain.
Erlan Yu, Xuehong Chu, Wanwan Zhang, et al.
This review provides a comprehensive overview of LLM applications, challenges, and future directions in medicine, highlighting hallucination, interpretability, and ethical concerns.
Jinlong Ru, Peng Li, Jinan Wang, et al.
TCMSP is a systems pharmacology database integrating pharmacochemistry, ADME properties, drug targets, diseases, and interaction networks for 499 Chinese herbs to accelerate drug discovery.
Wenxuan Wang, Zizhan Ma, Meidan Ding, et al.
First systematic review of LLM reasoning in medicine, proposing a taxonomy of training-time and test-time enhancement techniques across modalities and clinical applications.
Ellen N. Huhulea, Lillian Huang, Shirley Eng, et al.
This review surveys AI advancements in oncology, covering early detection, personalized treatment, drug discovery, and integration with nanomedicine and immunotherapy.
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This paper explores the application of multimodal large language models, specifically GPT-4V, in medicine, connecting LLMs with vision input for clinical tasks.