IBM Research - Thomas J. Watson Research Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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.
Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017
Michael A. Marchetti, Konstantinos Liopyris, Stephen W. Dusza et al.
2019 · 102 Zit.
Trustworthy machine learning and artificial intelligence
Kush R. Varshney
2019 · 69 Zit.
Human-centered explainability for life sciences, healthcare, and medical informatics
Sanjoy Kumer Dey, Prithwish Chakraborty, Bum Chul Kwon et al.
2022 · 41 Zit.
Bias in Artificial Intelligence
Yoonyoung Park, Jianying Hu
2023 · 18 Zit.
Predicting Future High-Cost Schizophrenia Patients Using High-Dimensional Administrative Data
Yajuan Wang, Vijay Iyengar, Jianying Hu et al.
2017 · 14 Zit.
Reports of the 2016 AAAI Workshop Program
Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein et al.
2016 · 10 Zit.
Advances in Artificial Intelligence
Martin Charles Golumbic
1990 · 8 Zit.
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming
Huzaifa Arif, Alex Gittens, Pin‐Yu Chen
2023 · 6 Zit.
Trust and Reliance in Evolving Human-AI Workflows (TREW)
Zahra Ashktorab, Gagan Bansal, Zana Buçinca et al.
2024 · 5 Zit.
Algorithmic Fairness and AI Justice in Addressing Health Equity
Yoonyoung Park, Moninder Singh, Eileen Koski et al.
2022 · 4 Zit.
Addressing Health Equity: Sources, Impact and Mitigation of Biased Data
Eileen Koski, Fernando Suárez, Yoonyoung Park et al.
2022 · 1 Zit.
Correction to: Artificial Intelligence
Charu C. Aggarwal
2023 · 0 Zit.
Faculty Opinions recommendation of What do medical students actually need to know about artificial intelligence?
Raquel Norel
2020 · 0 Zit.
Large language models enhance reinforcement learning for public health resource allocation
Hao Yang, Chijun Zhang, Feiyang Yang et al.
2026 · 0 Zit.