Abdoul Jalil Djiberou Mahamadou,Artem A Trotsyuk
Abdoul Jalil Djiberou Mahamadou
Efforts to mitigate bias and enhance fairness in the artificial intelligence (AI) community have predominantly focused on technical solutions. While numerous reviews have addressed bias in AI, this review uniquely focuses on the practical l...
Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare [0.03%]
超越多项选择的准确性：在医疗保健中实施大型语言模型的实际挑战
Yifan Yang,Qiao Jin,Qingqing Zhu et al.
Yifan Yang et al.
Large language models (LLMs) have gained significant attention in the medical domain for their human-level capabilities, leading to increased efforts to explore their potential in various healthcare applications. However, despite such a pro...
Strategies for Creating Robust Patient Groups to Study Diverse Conditions with Electronic Health Records [0.03%]
基于电子健康档案创建稳健的患者群组以研究多种疾病的策略
Grace D Ramey,Hannah Takasuka,John A Capra
Grace D Ramey
The growth of electronic health record (EHR) databases in size and availability has created an unprecedented opportunity to better understand human health and disease. However, conducting robust EHR studies requires careful filtering criter...
The Development Landscape of Large Language Models for Biomedical Applications [0.03%]
生物医学应用的大规模语言模型的发展景观
Zhiyuan Cao,Vipina K Keloth,Qianqian Xie et al.
Zhiyuan Cao et al.
Large language models (LLMs) have become powerful tools for biomedical applications, offering potential to transform healthcare and medical research. Since the release of ChatGPT in 2022, there has been a surge in LLMs for diverse biomedica...
Integrative Data Science in Drug Safety Research: Experiences, Challenges, and Perspectives [0.03%]
药物安全研究中的集成数据科学：经验、挑战与展望
Ferran Sanz
Ferran Sanz
Pharmaceutical research and development largely depend on the quantity and quality of data that are available to support projects. The secondary use of data by means of collaborative and integrative approaches is yielding promising results ...
Nicolas Hiebel,Olivier Ferret,Karën Fort et al.
Nicolas Hiebel et al.
Generative artificial intelligence (AI), operationalized as large language models, is increasingly used in the biomedical field to assist with a range of text processing tasks including text classification, information extraction, and decis...
Divya Shanmugam,Monica Agrawal,Rajiv Movva et al.
Divya Shanmugam et al.
The increased capabilities of generative artificial intelligence (AI) have dramatically expanded its possible use cases in medicine. We provide a comprehensive overview of generative AI use cases for clinicians, patients, clinical trial org...
Marc Subirana-Granés,Jill Hoffman,Haoyu Zhang et al.
Marc Subirana-Granés et al.
Understanding the genetic basis of complex traits is a longstanding challenge in the field of genomics. Genome-wide association studies have identified thousands of variant-trait associations, but most of these variants are located in nonco...
Evaluation and Regulation of Artificial Intelligence Medical Devices for Clinical Decision Support [0.03%]
临床决策支持人工智能医疗器械的评价和监管
Gary E Weissman
Gary E Weissman
Artificial intelligence (AI) methods were first developed nearly seven decades ago. Only in recent years have they demonstrated their potential to improve clinical care at the bedside. AI systems are now capable of interpreting, predicting,...
Kevin K Tsang,Sophia Kivelson,Jose M Acitores Cortina et al.
Kevin K Tsang et al.
Cancer remains a leading cause of death globally. The complexity and diversity of cancer-related datasets across different specialties pose challenges in refining precision medicine for oncology. Foundation models offer a promising solution...