Ben Van Calster

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

2019 · 1.885 Zit. · Journal of Clinical Epidemiology

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

2024 · 1.798 Zit. · BMJ

Calibration: the Achilles heel of predictive analytics

2019 · 1.744 Zit. · BMC Medicine

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 · 775 Zit. · BMJ Open

Metrics reloaded: recommendations for image analysis validation

2024 · 374 Zit. · Nature Methods

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

2025 · 286 Zit. · BMJ

Predictive analytics in health care: how can we know it works?

2019 · 211 Zit. · Journal of the American Medical Informatics Association

Understanding metric-related pitfalls in image analysis validation

2024 · 165 Zit. · Nature Methods

Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review

2022 · 133 Zit. · BMC Medical Research Methodology

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

2022 · 131 Zit. · European Heart Journal

Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved

2021 · 108 Zit. · Journal of Clinical Epidemiology

Methodology over metrics: current scientific standards are a disservice to patients and society

2021 · 102 Zit. · Journal of Clinical Epidemiology

External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature

2021 · 72 Zit. · Circulation Cardiovascular Quality and Outcomes

Risk of bias of prognostic models developed using machine learning: a systematic review in oncology

2022 · 64 Zit. · Diagnostic and Prognostic Research

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)