Laure Wynants

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

2024 · 1.422 Zit. · BMJ

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 · 175 Zit. · BMJ

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

2021 · 100 Zit. · Journal of Clinical Epidemiology

Demystifying AI in healthcare

2020 · 20 Zit. · BMJ

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

2024 · 12 Zit. · arXiv (Cornell University)

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

2025 · 8 Zit. · The Lancet Digital Health

Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic review

2022 · 7 Zit. · Journal of Clinical Epidemiology

Structural under-reporting of informed consent, data handling and sharing, ethical approval, and application of Open Science principles as proxies for study quality conduct in COVID-19 research: a systematic scoping review

2023 · 6 Zit. · BMJ Global Health

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

2025 · 3 Zit. · The Ewha Medical Journal

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

2025 · 2 Zit. · JMIR Medical Informatics

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

2025 · 0 Zit. · Value in Health