National Institutes of Health
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.
2020 · 990 Zit.
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.
2021 · 695 Zit.
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan et al.
2020 · 581 Zit.
Opportunities and challenges for ChatGPT and large language models in biomedicine and health
Shubo Tian, Qiao Jin, Lana Yeganova et al.
2023 · 338 Zit.
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency
Christine M. Cutillo, Karlie R. Sharma, Luca Foschini et al.
2020 · 319 Zit.
LitCovid: an open database of COVID-19 literature
Qingyu Chen, Alexis Allot, Zhiyong Lu
2020 · 275 Zit.
Incidental Findings in Brain Imaging Research
Judy Illes, Matthew P. Kirschen, Emmeline Edwards et al.
2006 · 237 Zit.
Federated learning improves site performance in multicenter deep learning without data sharing
Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford et al.
2020 · 224 Zit.
An International Study of Research Misconduct Policies
David B. Resnik, Lisa M. Rasmussen, Grace E. Kissling
2015 · 181 Zit.
GeneGPT: augmenting large language models with domain tools for improved access to biomedical information
Qiao Jin, Yifan Yang, Qingyu Chen et al.
2024 · 149 Zit.
PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge
Chih-Hsuan Wei, Alexis Allot, Po‐Ting Lai et al.
2024 · 136 Zit.
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment
Karen Drukker, Weijie Chen, Judy Wawira Gichoya et al.
2023 · 125 Zit.
A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop
Bibb Allen, Steven E. Seltzer, Curtis P. Langlotz et al.
2019 · 124 Zit.
MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval
Qiao Jin, Won Bae Kim, Qingyu Chen et al.
2023 · 123 Zit.
Research Misconduct Definitions Adopted by U.S. Research Institutions
David B. Resnik, Talicia Neal, Austin Raymond et al.
2014 · 123 Zit.