NYU Langone Health

Medical 3D Printing for the Radiologist

Dimitris Mitsouras, Peter Liacouras, Amir Imanzadeh et al.

2015 · 614 Zit.

Health system-scale language models are all-purpose prediction engines

Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian et al.

2023 · 432 Zit.

Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format

Jonah Zaretsky, Jeong‐Min Kim, Samuel Baskharoun et al.

2024 · 224 Zit.

Putting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study

Oded Nov, Nina Singh, David Mann

2023 · 179 Zit.

Artificial Intelligence: Threat or Boon to Radiologists?

Michael P. Recht, R. Nick Bryan

2017 · 169 Zit.

Medical large language models are vulnerable to data-poisoning attacks

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

2025 · 141 Zit.

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

Cem M. Deniz, Siyuan Xiang, R. Spencer Hallyburton et al.

2018 · 136 Zit.

A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate

David Winkel, Angela Tong, Bin Lou et al.

2021 · 110 Zit.

Concepts and applications of digital twins in healthcare and medicine

Kang Zhang, Hong-Yu Zhou, Daniel T. Baptista‐Hon et al.

2024 · 98 Zit.

Chat Generative Pre-trained Transformer: why we should embrace this technology

Martin Chavez, Thomas S. Butler, Patricia Rekawek et al.

2023 · 81 Zit.

ChatGPT's Ability to Assess Quality and Readability of Online Medical Information: Evidence From a Cross-Sectional Study

Roei Golan, Sarah J Ripps, Raghuram Reddy et al.

2023 · 69 Zit.

Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study

Marc Raynaud, Olivier Aubert, Gillian Divard et al.

2021 · 63 Zit.

Marketing and US Food and Drug Administration Clearance of Artificial Intelligence and Machine Learning Enabled Software in and as Medical Devices

Phoebe Clark, Jayne Kim, Yindalon Aphinyanaphongs

2023 · 62 Zit.

Coronavirus Disease 2019 (COVID-19) and Radiology Education—Strategies for Survival

Priscilla J. Slanetz, Ujas Parikh, Teresa Chapman et al.

2020 · 60 Zit.

Applying A/B Testing to Clinical Decision Support: Rapid Randomized Controlled Trials

Jonathan Austrian, Felicia Mendoza, Adam Szerencsy et al.

2021 · 54 Zit.