Icahn School of Medicine at Mount Sinai
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
John R. Zech, Marcus A. Badgeley, Manway Liu et al.
2018 · 1.451 Zit.
Artificial Intelligence in Cardiology
Kipp W. Johnson, Jessica Torres Soto, Benjamin S. Glicksberg et al.
2018 · 1.134 Zit.
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
Xueyan Mei, Hao-Chih Lee, Kaiyue Diao et al.
2020 · 1.084 Zit.
Artificial Intelligence in Precision Cardiovascular Medicine
Chayakrit Krittanawong, HongJu Zhang, Zhen Wang et al.
2017 · 1.065 Zit.
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.
2021 · 690 Zit.
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Thomas Schaffter, Diana S.M. Buist, Christoph I. Lee et al.
2020 · 409 Zit.
Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms
Roxana Daneshjou, Mary P. Smith, Mary Sun et al.
2021 · 352 Zit.
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments
Dana Brin, Vera Sorin, Akhil Vaid et al.
2023 · 316 Zit.
RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning
Xueyan Mei, Zelong Liu, Philip M. Robson et al.
2022 · 286 Zit.
Time to reality check the promises of machine learning-powered precision medicine
Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray et al.
2020 · 238 Zit.
Expert consensus on the metaverse in medicine
Dawei Yang, Jian Zhou, Rongchang Chen et al.
2022 · 235 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.
The rise of artificial intelligence and the uncertain future for physicians
Chayakrit Krittanawong
2017 · 210 Zit.
Artificial intelligence as an emerging technology in the current care of neurological disorders
Urvish Patel, Arsalan Anwar, Sidra Saleem et al.
2019 · 191 Zit.
Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice
Rohan Khera, Evangelos K. Oikonomou, Girish N. Nadkarni et al.
2024 · 182 Zit.