Cedars-Sinai Medical Center

Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions

J. Matthew Helm, Andrew Swiergosz, Heather S. Haeberle et al.

2020 · 676 Zit.

Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma

Yee Hui Yeo, Jamil S. Samaan, Wee Han Ng et al.

2023 · 618 Zit.

ChatGPT and large language models in academia: opportunities and challenges

Jesse G. Meyer, Ryan J. Urbanowicz, Patrick Martin et al.

2023 · 524 Zit.

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

Eric Q. Wu, Kevin Wu, Roxana Daneshjou et al.

2021 · 452 Zit.

Assessing the Accuracy of Responses by the Language Model ChatGPT to Questions Regarding Bariatric Surgery

Jamil S. Samaan, Yee Hui Yeo, Nithya Rajeev et al.

2023 · 275 Zit.

Clinical applications of artificial intelligence in robotic surgery

J Knudsen, Umar Ghaffar, Runzhuo Ma et al.

2024 · 219 Zit.

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

Partho P. Sengupta, Sirish Shrestha, Béatrice Berthon et al.

2020 · 211 Zit.

A manifesto on explainability for artificial intelligence in medicine

Carlo Combi, Beatrice Amico, Riccardo Bellazzi et al.

2022 · 148 Zit.

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

Maarten van Smeden, Georg Heinze, Ben Van Calster et al.

2022 · 131 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.

Artificial intelligence: revolutionizing cardiology with large language models

Machteld Boonstra, Davy Weissenbacher, Jason H. Moore et al.

2024 · 100 Zit.

Performance of <scp>ChatGPT</scp> in medical examinations: A systematic review and a meta‐analysis

Gabriel Levin, Nir Horesh, Yoav Brezinov et al.

2023 · 99 Zit.

Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

Tyler Bradshaw, Ronald Boellaard, Joyita Dutta et al.

2021 · 91 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.

Deep learning evaluation of biomarkers from echocardiogram videos

J. Weston Hughes, Neal Yuan, Bryan He et al.

2021 · 62 Zit.