University of Rochester

Using large language models in psychology

Dorottya Demszky, Diyi Yang, David S. Yeager et al.

2023 · 297 Zit.

Artificial Intelligence and Orthopaedics

Thomas G. Myers, Prem N. Ramkumar, Benjamin F. Ricciardi et al.

2020 · 229 Zit.

The Retraction Penalty: Evidence from the Web of Science

Susan Lu, Ginger Zhe Jin, Brian Uzzi et al.

2013 · 195 Zit.

Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities

Rahim Hirani, Kaleb Noruzi, Hassan Khuram et al.

2024 · 162 Zit.

Friend or Foe? Teaming Between Artificial Intelligence and Workers with Variation in Experience

Weiguang Wang, Guodong Gao, Ritu Agarwal

2023 · 108 Zit.

Evolving robotic surgery training and improving patient safety, with the integration of novel technologies

I‐Hsuan Chen, Ahmed Ghazi, Ashwin Sridhar et al.

2020 · 94 Zit.

Ethical implications of AI in robotic surgical training: A Delphi consensus statement

Justin Collins, Hani J. Marcus, Ahmed Ghazi et al.

2021 · 69 Zit.

Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation

Jonathan Herington, Melissa D. McCradden, Kathleen Creel et al.

2023 · 57 Zit.

Application of large language models in medicine

Fenglin Liu, Hongjian Zhou, 博司 熊谷 et al.

2025 · 55 Zit.

Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance

Jonathan Herington, Melissa D. McCradden, Kathleen Creel et al.

2023 · 50 Zit.

Diagnostic Performance of an Artificial Intelligence System in Breast Ultrasound

Avice M. O’Connell, Tommaso Vincenzo Bartolotta, Alessia Angela Maria Orlando et al.

2021 · 46 Zit.

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning

Xiao-Yang Liu, Rongyi Zhu, Daochen Zha et al.

2024 · 38 Zit.

Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated usability test

Nisreen Al Jallad, Oriana Ly-Mapes, Peirong Hao et al.

2022 · 34 Zit.

Advances in deep learning for personalized ECG diagnostics: A systematic review addressing inter-patient variability and generalization constraints

Cheng Ding, Tianliang Yao, Chenwei Wu et al.

2024 · 30 Zit.

The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research

Julia A. Heneghan, Sarah Walker, Andrea J. Fawcett et al.

2023 · 28 Zit.