University of Pittsburgh

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

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

2020 · 1.253 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.

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 · 428 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 · 405 Zit.

Multimodal Patient Blood Management Program Based on a Three-pillar Strategy

Friederike C. Althoff, Holger Neb, Eva Herrmann et al.

2018 · 290 Zit.

Ethical and Bias Considerations in Artificial Intelligence/Machine Learning

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

2024 · 287 Zit.

Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*

Patrick Thoral, Jan M. Peppink, Ronald H. Driessen et al.

2021 · 242 Zit.

Expert consensus on the metaverse in medicine

Dawei Yang, Jian Zhou, Rongchang Chen et al.

2022 · 234 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 · 199 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 · 193 Zit.

Artificial intelligence-based clinical decision support in pediatrics

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

2022 · 151 Zit.

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

Mahyar Abbasian, Elahe Khatibi, Iman Azimi et al.

2024 · 150 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 · 142 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 · 134 Zit.

Artificial Intelligence in Critical Care Medicine

Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont

2022 · 126 Zit.