Microsoft Research (United Kingdom)
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence in healthcare: transforming the practice of medicine
Junaid Bajwa, Usman Munir, Aditya Nori et al.
2021 · 1.420 Zit.
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
Gagan Bansal, Besmira Nushi, Ece Kamar et al.
2019 · 270 Zit.
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Krishnamurthy Dvijotham, Jim Winkens, Melih Barsbey et al.
2023 · 99 Zit.
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making
Kori Inkpen, Shreya Chappidi, Keri Mallari et al.
2023 · 93 Zit.
Engaging the ethics of data science in practice
Solon Barocas, danah boyd
2017 · 82 Zit.
A causal perspective on dataset bias in machine learning for medical imaging
Charles Jones, Daniel C. Castro, Fabio De Sousa Ribeiro et al.
2024 · 50 Zit.
Augmenting interpretable models with large language models during training
Chandan Singh, Armin Askari, Rich Caruana et al.
2023 · 48 Zit.
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Baifeng Shi, Dinghuai Zhang, Qi Dai et al.
2020 · 46 Zit.
Explanatory pragmatism: a context-sensitive framework for explainable medical AI
Rune Nyrup, Diana Robinson
2022 · 44 Zit.
AI, Health, and Health Care Today and Tomorrow
Derek C. Angus, Rohan Khera, Tracy A. Lieu et al.
2025 · 40 Zit.
Differentially Private Fine-tuning of Language Models
Da Yu, Saurabh Naik, Artūrs Bačkurs et al.
2024 · 35 Zit.
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
Besmira Nushi, Ece Kamar, Eric Horvitz
2018 · 34 Zit.
Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
Cecily Morrison, Martin Grayson, Rita Faia Marques et al.
2023 · 29 Zit.
Improving Biomedical Information Retrieval with Neural Retrievers
Man Luo, Arindam Mitra, Tejas Gokhale et al.
2022 · 26 Zit.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis
Carole H. Sudre, Roxane Licandro, Christian Baumgärtner et al.
2021 · 23 Zit.