Gary S. Collins

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

2019 · 1.867 Zit. · Journal of Clinical Epidemiology

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

2024 · 1.684 Zit. · BMJ

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

2020 · 1.017 Zit. · BMJ

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

2020 · 941 Zit. · Nature 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 · 763 Zit. · BMJ Open

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

2020 · 559 Zit. · Nature Medicine

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

2020 · 464 Zit. · BMJ

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

2022 · 453 Zit. · Nature Medicine

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

2020 · 401 Zit. · The Lancet Digital Health

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

2020 · 361 Zit. · The Lancet Digital Health

Metrics reloaded: recommendations for image analysis validation

2024 · 357 Zit. · Nature Methods

Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review

2021 · 343 Zit. · BMJ

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

2022 · 330 Zit. · BMJ

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

2021 · 296 Zit. · BMJ Open

Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis

2022 · 288 Zit. · Radiology