National Institutes of Health

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 · 892 Zit.

Federated learning for predicting clinical outcomes in patients with COVID-19

Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.

2021 · 658 Zit.

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Melissa Haendel, Christopher G. Chute, Tellen D. Bennett et al.

2020 · 574 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 · 541 Zit.

Opportunities and challenges for ChatGPT and large language models in biomedicine and health

Shubo Tian, Qiao Jin, Lana Yeganova et al.

2023 · 316 Zit.

Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency

Christine M. Cutillo, Karlie R. Sharma, Luca Foschini et al.

2020 · 306 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 · 236 Zit.

Federated learning improves site performance in multicenter deep learning without data sharing

Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford et al.

2020 · 220 Zit.

An International Study of Research Misconduct Policies

David B. Resnik, Lisa M. Rasmussen, Grace E. Kissling

2015 · 180 Zit.

GeneGPT: augmenting large language models with domain tools for improved access to biomedical information

Qiao Jin, Yifan Yang, Qingyu Chen et al.

2024 · 138 Zit.

PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge

Chih-Hsuan Wei, Alexis Allot, Po‐Ting Lai et al.

2024 · 126 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 · 123 Zit.

Research Misconduct Definitions Adopted by U.S. Research Institutions

David B. Resnik, Talicia Neal, Austin Raymond et al.

2014 · 122 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 · 117 Zit.