Lauren Oakden‐Rayner

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al. · BMJ · 2024 · 2.2K citations · Full text

Computing, Biostatistics, Health Informatics +17

AI recognition of patient race in medical imaging: a modelling study

Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy et al. · The Lancet Digital Health · 2022 · 518 citations · Full text

Computing, Computer Science, Radiology +17

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al. · BMJ · 2025 · 383 citations · Full text

Computing, Computer Science, Artificial Intelligence +12

The value of standards for health datasets in artificial intelligence-based applications

Anmol Arora, Joseph Alderman, Joanne Palmer et al. · Nature Medicine · 2023 · 271 citations · Full text

Computing, Health Informatics, Health Policy +16

Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study

Lauren Oakden‐Rayner, William A. Gale, Thomas A. Bonham et al. · The Lancet Digital Health · 2022 · 88 citations · Full text

Computing, Computer Science, Radiology +17