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Washington University in St. Louis

249.832 Arbeiten38.736.026 Zitationen
Land: USTyp: education

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

Micah Sheller, Brandon Edwards, G. Anthony Reina et al.

2020 · 1.354 Zit.

Accuracy and Reliability of Chatbot Responses to Physician Questions

Rachel Goodman, James R. Patrinely, Cosby A. Stone et al.

2023 · 432 Zit.

Questions for Artificial Intelligence in Health Care

Thomas M. Maddox, John S. Rumsfeld, Philip Payne

2018 · 382 Zit.

A scoping review of artificial intelligence in medical education: BEME Guide No. 84

Morris Gordon, Michelle Daniel, Aderonke Ajiboye et al.

2024 · 367 Zit.

Artificial Intelligence for Intraoperative Guidance

Amin Madani, Babak Namazi, Maria S. Altieri et al.

2020 · 357 Zit.

Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications

Bing Xue, Dingwen Li, Chenyang Lu et al.

2021 · 341 Zit.

Joint EANM/SNMMI guideline on radiomics in nuclear medicine

Mathieu Hatt, Aron K. Krizsan, Arman Rahmim et al.

2022 · 144 Zit.

Medical large language models are vulnerable to data-poisoning attacks

Daniel Alexander Alber, Zihao Yang, Anton Alyakin et al.

2025 · 143 Zit.

Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review

Sayantan Kumar, Inez Y. Oh, Suzanne E. Schindler et al.

2021 · 123 Zit.

Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)

Abhinav K. Jha, Tyler Bradshaw, Irène Buvat et al.

2022 · 103 Zit.

Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey

Alison L. Antes, Sara Burrous, Bryan A. Sisk et al.

2021 · 93 Zit.

Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

Tyler Bradshaw, Ronald Boellaard, Joyita Dutta et al.

2021 · 91 Zit.

Using wearable technology to predict health outcomes: a literature review

Jason P. Burnham, Chenyang Lu, Lauren H Yaeger et al.

2018 · 90 Zit.

Clinical decisions using AI must consider patient values

Jonathan Birch, Kathleen Creel, Abhinav K. Jha et al.

2022 · 79 Zit.

Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare

Bryan A. Sisk, Alison L. Antes, Sara Burrous et al.

2020 · 71 Zit.