Standout Papers

The myth of generalisability in clinical research and machine learning in health care 2020 2026 2022 2024231
  1. The myth of generalisability in clinical research and machine learning in health care (2020)
    Joseph Futoma, Morgan Simons et al. The Lancet Digital Health

Immediate Impact

4 from Science/Nature 58 standout
Sub-graph 1 of 22

Citing Papers

An evaluation framework for clinical use of large language models in patient interaction tasks
2025 Standout
Machine Learning in Polymer Research
2025 Standout
2 intermediate papers

Works of Trishan Panch being referenced

The “inconvenient truth” about AI in healthcare
2019
Artificial intelligence, machine learning and health systems
2018

Author Peers

Author Last Decade Papers Cites
Trishan Panch 519 236 366 288 22 1.4k
Abdulkareem Albekairy 545 169 307 271 43 1.5k
Julia Amann 474 163 391 211 27 1.3k
Michael Hogarth 756 255 462 358 53 1.5k
Jane Snowdon 307 206 225 213 33 1.4k
Avishek Choudhury 726 212 495 240 65 1.5k
Adam Poliak 706 193 391 279 16 1.2k
Sara Gerke 861 222 379 334 58 1.7k
Hisham A. Badreldin 547 113 309 250 49 1.5k
W. Nicholson Price 559 148 395 314 49 1.8k
Kyu Rhee 549 552 378 413 52 2.1k

All Works

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Rankless by CCL
2026