Standout Papers

Unintended Consequences of Machine Learning in Medicine 2017 2026 2020 2023 548
  1. Unintended Consequences of Machine Learning in Medicine (2017)
    Federico Cabitza, Raffaele Rasoini et al. JAMA
  2. Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions (2024)
    Luca Longo, Mario Brčić et al. Information Fusion

Immediate Impact

1 from Science/Nature 64 standout
Sub-graph 1 of 22

Citing Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
A vision–language foundation model for precision oncology
2025 StandoutNature
3 intermediate papers

Works of Federico Cabitza being referenced

Unintended Consequences of Machine Learning in Medicine
2017 Standout

Author Peers

Author Last Decade Papers Cites
Federico Cabitza 1120 785 359 710 180 3.4k
Xiaoxuan Liu 750 1020 236 1322 103 3.6k
Benjamin S. Glicksberg 1437 968 526 946 165 5.8k
Dominic King 592 722 273 667 63 3.8k
Marzyeh Ghassemi 1692 1547 439 833 85 3.9k
Fei Wang 2581 737 729 1016 258 7.3k
Jiang Bian 1929 654 434 424 376 6.1k
Alastair K. Denniston 842 1152 271 2153 212 6.1k
A. S. Albahri 1554 326 400 708 154 6.4k
Eyal Klang 1286 955 163 1626 247 5.4k
O. S. Albahri 1387 282 378 554 129 6.0k

All Works

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2026