Karel G.M. Moons

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

2024 · 1.422 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 · 734 Zit. · BMJ Open

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

2020 · 460 Zit. · BMJ

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

2022 · 449 Zit. · npj Digital Medicine

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

2022 · 427 Zit. · Nature Medicine

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

2021 · 282 Zit. · BMJ Open

The TRIPOD-LLM reporting guideline for studies using large language models

2025 · 222 Zit. · Nature Medicine

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

Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use

2015 · 124 Zit. · PLoS Medicine

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

2022 · 124 Zit. · BMC Medical Research Methodology

Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review

2022 · 119 Zit. · BMC Medical Research Methodology

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

2023 · 112 Zit. · Nature Medicine

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

2021 · 106 Zit. · Journal of Clinical Epidemiology

Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models

2022 · 89 Zit. · Journal of Clinical Epidemiology

Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques

2020 · 84 Zit. · BMJ Open