Dataset Shift in Clinical Trials This letter outlines how to identify, and potentially mitigate, common sources of “dataset shift” in machine-learning systems.
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Jul 14, 2021 |
| Journal | New England Journal of Medicine |
| Authors | Samuel G. Finlayson, Adarsh Subbaswamy, Karandeep Singh, John Bowers, Annabel Kupke |
| DOI | 10.1056/nejmc2104626 |
| Citations | 639 |
| Source | OpenAlex |