Richard D Riley

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

2024 · 1.734 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 · 767 Zit. · BMJ Open

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

2021 · 345 Zit. · BMJ

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

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

2022 · 132 Zit. · BMC Medical Research Methodology

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

2015 · 126 Zit. · PLoS Medicine

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

2022 · 123 Zit. · BMC Medical Research Methodology

Developing and validating risk prediction models in an individual participant data meta-analysis

2014 · 111 Zit. · BMC Medical Research Methodology

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

2021 · 108 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

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

2022 · 98 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 · 86 Zit. · BMJ Open

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

2022 · 63 Zit. · Diagnostic and Prognostic Research

Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models

2023 · 59 Zit. · Journal of Clinical Epidemiology

Just How Confident Can We Be in Predicting Sports Injuries? A Systematic Review of the Methodological Conduct and Performance of Existing Musculoskeletal Injury Prediction Models in Sport

2022 · 57 Zit. · Sports Medicine