Standout Papers
- Artificial intelligence in healthcare (2018)
- Big Data and Machine Learning in Health Care (2018)
- The false hope of current approaches to explainable artificial intelligence in health care (2021)
- Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence (2021)
- Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study (2018)
- Second opinion needed: communicating uncertainty in medical machine learning (2021)
Immediate Impact
1 by Nobel laureates 16 from Science/Nature 73 standout
Citing Papers
Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
2025 Standout
Works of Andrew L. Beam being referenced
The false hope of current approaches to explainable artificial intelligence in health care
2021 Standout
Artificial intelligence in healthcare
2018 Standout
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Andrew L. Beam | 1885 | 1768 | 474 | 1232 | 66 | 6.1k | |
| Ziad Obermeyer | 1700 | 2078 | 235 | 1190 | 67 | 8.3k | |
| Justin Ko | 3070 | 1179 | 608 | 2266 | 86 | 8.4k | |
| Roberto A. Novoa | 2899 | 1073 | 516 | 2199 | 78 | 7.4k | |
| Pranav Rajpurkar | 1623 | 1502 | 322 | 1605 | 61 | 5.4k | |
| Benjamin S. Glicksberg | 1437 | 968 | 751 | 946 | 165 | 5.8k | |
| Marzyeh Ghassemi | 1692 | 1547 | 164 | 833 | 85 | 3.9k | |
| Alastair K. Denniston | 842 | 1152 | 308 | 2153 | 212 | 6.1k | |
| Andre Esteva | 4059 | 1737 | 809 | 3170 | 29 | 10.2k | |
| Kun‐Hsing Yu | 1113 | 866 | 483 | 1164 | 57 | 3.8k | |
| Jonathan H. Chen | 870 | 646 | 818 | 576 | 179 | 4.8k |
All Works
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