University of California, Berkeley
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Addressing bias in big data and AI for health care: A call for open science
Natalia Norori, Qiyang Hu, Florence M. Aellen et al.
2021 · 701 Zit.
Research Priorities for Robust and Beneficial Artificial Intelligence
Stuart Russell, Daniel Dewey, Max Tegmark
2015 · 617 Zit.
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
Beau Norgeot, Giorgio Quer, Brett K. Beaulieu‐Jones et al.
2020 · 534 Zit.
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
Jean Feng, Rachael V. Phillips, Ivana Malenica et al.
2022 · 323 Zit.
Considerations for addressing bias in artificial intelligence for health equity
Michael D. Abràmoff, Michelle E. Tarver, Nilsa Loyo‐Berríos et al.
2023 · 268 Zit.
How Is ChatGPT’s Behavior Changing Over Time?
Lingjiao Chen, Matei Zaharia, James Zou
2024 · 253 Zit.
In principle obstacles for empathic AI: why we can’t replace human empathy in healthcare
Carlos Montemayor, Jodi Halpern, Abrol Fairweather
2021 · 231 Zit.
Managing extreme AI risks amid rapid progress
Yoshua Bengio, Geoffrey E. Hinton, Andrew Chi-Chih Yao et al.
2024 · 221 Zit.
The Fallacy of AI Functionality
Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz et al.
2022 · 203 Zit.
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.
2022 · 191 Zit.
The fallacy of inscrutability
Joshua A. Kroll
2018 · 123 Zit.
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support
Anna Kawakami, Venkatesh Sivaraman, Hao-Fei Cheng et al.
2022 · 115 Zit.
Evaluating large language models as agents in the clinic
Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz et al.
2024 · 108 Zit.
Integrating Generative AI in Education: How ChatGPT Brings Challenges for Future Learning and Teaching
Yi Wu
2023 · 103 Zit.
Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures
Hongmei Wang, Lu Wang, Edward H. Lee et al.
2020 · 99 Zit.