Tufts University

Proceedings of the twenty-first international conference on Machine learning

Carla E. Brodley

2004 · 1.000 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.

The role of machine learning in clinical research: transforming the future of evidence generation

E. Hope Weissler, Tristan Naumann, Tomas Andersson et al.

2021 · 270 Zit.

Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities

Jessica K. Paulus, David M. Kent

2020 · 249 Zit.

Digital Medicine: A Primer on Measurement

Andrea Coravos, Jennifer C. Goldsack, Daniel R. Karlin et al.

2019 · 159 Zit.

FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies

Shadi Ebrahimian, Mannudeep K. Kalra, Sheela Agarwal et al.

2021 · 109 Zit.

Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 71 Zit.

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence

Xiang Bai, Hanchen Wang, Liya Ma et al.

2021 · 71 Zit.

To do no harm — and the most good — with AI in health care

Carey Beth Goldberg, Laura Adams, David Blumenthal et al.

2024 · 68 Zit.

Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup

Marla B. K. Sammer, Yasmin S. Akbari, Richard A. Barth et al.

2023 · 59 Zit.

A collaborative online AI engine for CT-based COVID-19 diagnosis

Yongchao Xu, Liya Ma, Fan Yang et al.

2020 · 47 Zit.

Maintaining data integrity in a rural clinical trial

Jan Van den Broeck, Melanie Mackay, Nontobeko Mpontshane et al.

2007 · 44 Zit.

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 41 Zit.

A mistake-find exercise: a teacher’s tool to engage with information innovations, ChatGPT, and their analogs

Elena N. Naumova

2023 · 41 Zit.

Meta-analysis in clinical trials reporting: Has a tool become a weapon?

William E. Boden

1992 · 40 Zit.