University of Chicago

Scalable and accurate deep learning with electronic health records

Alvin Rajkomar, Eyal Oren, Kai Chen et al.

2018 · 2.250 Zit.

Artificial intelligence in cancer imaging: Clinical challenges and applications

Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath et al.

2019 · 1.779 Zit.

Ensuring Fairness in Machine Learning to Advance Health Equity

Alvin Rajkomar, Michaela Hardt, Michael Howell et al.

2018 · 1.052 Zit.

Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers

Catherine A. Gao, Frederick M. Howard, Nikolay S. Markov et al.

2023 · 606 Zit.

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

Sebastian J. Vollmer, Bilal A. Mateen, Gergő Bohner et al.

2020 · 460 Zit.

Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers

Catherine A. Gao, Frederick M. Howard, Nikolay S. Markov et al.

2022 · 402 Zit.

Big Data and Data Science in Critical Care

L. Nelson Sanchez‐Pinto, Yuan Luo, Matthew M. Churpek

2018 · 280 Zit.

Explaining Decision-Making Algorithms through UI

Hao-Fei Cheng, Ruotong Wang, Zheng Zhang et al.

2019 · 276 Zit.

Noise injection for training artificial neural networks: A comparison with weight decay and early stopping

Richard M. Zur, Yulei Jiang, Lorenzo L. Pesce et al.

2009 · 196 Zit.

Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care

Marshall H. Chin, Nasim Afsarmanesh, Arlene S. Bierman et al.

2023 · 191 Zit.

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

Karen Drukker, Weijie Chen, Judy Wawira Gichoya et al.

2023 · 114 Zit.

A review of explainable and interpretable AI with applications in COVID‐19 imaging

Jordan Fuhrman, Naveena Gorre, Qiyuan Hu et al.

2021 · 112 Zit.

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century

Issam El Naqa, Masoom A. Haider, Maryellen L. Giger et al.

2020 · 95 Zit.

Artificial Intelligence and Surgery: Ethical Dilemmas and Open Issues

Lorenzo Cobianchi, Juan M. Verde, Tyler J. Loftus et al.

2022 · 93 Zit.

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging

Lubomir M. Hadjiiski, H. Kenny, Heang‐Ping Chan et al.

2022 · 85 Zit.