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University of Pittsburgh

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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 · 1.343 Zit.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 464 Zit.

Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery

Shane O’Sullivan, Nathalie Nevejans, Colin Allen et al.

2018 · 411 Zit.

Ethical and Bias Considerations in Artificial Intelligence/Machine Learning

Matthew G. Hanna, Liron Pantanowitz, Brian Jackson et al.

2024 · 342 Zit.

A framework for human evaluation of large language models in healthcare derived from literature review

Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor et al.

2024 · 250 Zit.

Expert consensus on the metaverse in medicine

Dawei Yang, Jian Zhou, Rongchang Chen et al.

2022 · 235 Zit.

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions

Wei-Hsuan Lo-Ciganic, James L. Huang, Hao Helen Zhang et al.

2019 · 229 Zit.

Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?

Riaz Qureshı, Daniel Shaughnessy, Kayden Gill et al.

2023 · 204 Zit.

Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings

David Carrell, Robert E. Schoen, Daniel A. Leffler et al.

2017 · 178 Zit.

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI

Mahyar Abbasian, Elahe Khatibi, Iman Azimi et al.

2024 · 165 Zit.

Artificial intelligence-based clinical decision support in pediatrics

Sriram Ramgopal, L. Nelson Sanchez‐Pinto, Christopher M. Horvat et al.

2022 · 154 Zit.

An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing: Algorithm Development and Validation Study

Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti et al.

2024 · 145 Zit.

Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation

Gene Kitamura, Chul Y. Chung, Barry Moore

2019 · 143 Zit.

Future of Artificial Intelligence—Machine Learning Trends in Pathology and Medicine

Matthew G. Hanna, Liron Pantanowitz, Rajesh Dash et al.

2025 · 132 Zit.

Artificial Intelligence in Critical Care Medicine

Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont

2022 · 128 Zit.