Laure Wynants

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

2024 · 1.734 Zit. · BMJ

Calibration: the Achilles heel of predictive analytics

2019 · 1.724 Zit. · BMC Medicine

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

2025 · 261 Zit. · BMJ

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

2019 · 210 Zit. · Journal of the American Medical Informatics Association

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

2021 · 102 Zit. · Journal of Clinical Epidemiology

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

2025 · 23 Zit. · The Lancet Digital Health

Demystifying AI in healthcare

2020 · 21 Zit. · BMJ

Assessing the quality of prediction models in health care using the Prediction model Risk Of Bias ASsessment Tool (PROBAST): an evaluation of its use and practical application

2025 · 13 Zit. · Journal of Clinical Epidemiology

Performance evaluation of predictive AI models to support medical\n decisions: Overview and guidance

2024 · 13 Zit. · arXiv (Cornell University)

What proportion of clinical prediction models make it to clinical practice? Protocol for a two-track follow-up study of prediction model development publications

2023 · 11 Zit. · BMJ Open

External validation, impact assessment and clinical utilization of clinical prediction models: a prospective cohort study

2025 · 6 Zit. · Journal of Clinical Epidemiology

Number of Publications on New Clinical Prediction Models: A Bibliometric Review

2025 · 5 Zit. · JMIR Medical Informatics

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

2025 · 4 Zit. · The Ewha Medical Journal

EE149 Comprehensive Uncertainty Assessment in Economic Evaluations of AI-Based Health Technologies: Pitfalls and Recommendations

2025 · 0 Zit. · Value in Health