Massachusetts Institute of Technology
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.
2024 · 1.798 Zit.
Artificial Intelligence in Surgery: Promises and Perils
Daniel A. Hashimoto, Guy Rosman, Daniela Rus et al.
2018 · 1.301 Zit.
The false hope of current approaches to explainable artificial intelligence in health care
Marzyeh Ghassemi, Luke Oakden‐Rayner, Andrew L. Beam
2021 · 1.280 Zit.
Experimental evidence on the productivity effects of generative artificial intelligence
Shakked Noy, Whitney Zhang
2023 · 1.217 Zit.
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
Jonathan Waring, Charlotta Lindvall, Renato Umeton
2020 · 827 Zit.
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
Laleh Seyyed-Kalantari, Haoran Zhang, Matthew B. A. McDermott et al.
2021 · 736 Zit.
Artificial intelligence for multimodal data integration in oncology
Jana Lipková, Richard J. Chen, Bowen Chen et al.
2022 · 647 Zit.
Research Priorities for Robust and Beneficial Artificial Intelligence
Stuart Russell, Daniel Dewey, Max Tegmark
2015 · 624 Zit.
Artificial Intelligence for Clinical Trial Design
Stefan Harrer, Pratik Shah, Bhavna Antony et al.
2019 · 624 Zit.
Artificial intelligence, machine learning and health systems
Trishan Panch, Peter Szolovits, Rifat Atun
2018 · 624 Zit.
The coming of age of artificial intelligence in medicine
Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli et al.
2008 · 611 Zit.
Algorithmic fairness in artificial intelligence for medicine and healthcare
Richard J. Chen, Judy J. Wang, Drew F. K. Williamson et al.
2023 · 544 Zit.
Bias in artificial intelligence algorithms and recommendations for mitigation
Lama Nazer, Razan Zatarah, Shai Waldrip et al.
2023 · 525 Zit.
Digital twins for health: a scoping review
Evangelia Katsoulakis, Qi Wang, Huanmei Wu et al.
2024 · 518 Zit.
There is a blind spot in AI research
Kate Crawford, Ryan Calo
2016 · 518 Zit.