Ben Van Calster

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

2019 · 1.830 Zit. · Journal of Clinical Epidemiology

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

2024 · 1.497 Zit. · BMJ

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 · 741 Zit. · BMJ Open

Metrics reloaded: recommendations for image analysis validation

2024 · 347 Zit. · Nature Methods

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

2019 · 209 Zit. · Journal of the American Medical Informatics Association

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

2025 · 192 Zit. · BMJ

Understanding metric-related pitfalls in image analysis validation

2024 · 155 Zit. · Nature Methods

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

2022 · 129 Zit. · European Heart Journal

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

2022 · 125 Zit. · BMC Medical Research Methodology

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

2021 · 106 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

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

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

2022 · 61 Zit. · Diagnostic and Prognostic Research

Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review

2023 · 36 Zit. · Journal of Clinical Epidemiology

Importance of sample size on the quality and utility of AI-based prediction models for healthcare

2025 · 22 Zit. · The Lancet Digital Health