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

Funding

Funding: This research was supported by Cancer Research UK programme grant (C49297/A27294), which supports GSC and PL; Health Data Research UK, an initiative funded by UK Research and Innovation, Department of Health and Social Care (England) and the devolved administrations, and leading medical research charities, which supports GSC; an Engineering and Physical Sciences Research Council grant for \u201CArtificial intelligence innovation to accelerate health research\u201D (EP/Y018516/1), which supports GSC, PD, and RDR; Netherlands Organisation for Scientific Research (which supports KGMM); and University Hospitals Leuven (COPREDICT grant), Internal Funds KU Leuven (grant C24M/20/064), and Research Foundation\u2013Flanders (grant G097322N), which supports BVC and LW. The funders had no role in considering the study design or in the collection, analysis, interpretation of data, writing of the report, or decision to submit the article for publication. Competing interests: All authors have completed the ICMJE uniform disclosure form at https://www.icmje.org/disclosure-of-interest/ and declare: support from the funding bodies listed above for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work. GSC is a National Institute for Health and Care Research (NIHR) senior investigator, the director of the UK EQUATOR Centre, editor-in-chief of BMC Diagnostic and Prognostic Research, and a statistics editor for The BMJ. KGMM is director of Health Innovation Netherlands and editor-in-chief of BMC Diagnostic and Prognostic Research. RDR is an NIHR senior investigator, a statistics editor for The BMJ, and receives royalties from textbooks Prognosis Research in Healthcare and Individual Participant Data Meta-Analysis. AKD is an NIHR senior investigator. EWL is the head of research at The BMJ. BG is a part time employee of HeartFlow and Kheiron Medical Technologies and holds stock options with both as part of the standard compensation package. SR receives royalties from Springer for the textbooks Targeted Learning: Causal Inference for Observational and Experimental Data and Targeted Learning: Causal Inference for Complex Longitudinal Studies. JCC receives honorariums as a current lay member on the UK NICE covid-19 expert panel and a citizen partner on the COVID-END Covid-19 Evidence Network to support decision making; was a lay member on the UK NIHR AI AWARD panel in 2020-22 and is a current lay member on the UK NHS England AAC Accelerated Access Collaborative NHS AI Laboratory Evaluation Advisory Group; is a patient fellow of the European Patients\u2019 Academy on Therapeutic Innovation and a EURORDIS rare disease alumni; reports grants from the UK National Institute for Health and Care Research, European Commission, UK Cell Gene Catapult, University College London, and University of East Anglia; reports patient speaker fees from MEDABLE, Reuters Pharma events, Patients as Partners Europe, and EIT Health Scandinavia; reports consultancy fees from Roche Global, GlaxoSmithKline, the FutureScience Group and Springer Healthcare (scientific publishing), outside of the scope of the present work; and is a strategic board member of the UK Medical Research Council IASB Advanced Pain Discovery Platform initiative, Plymouth Institute of Health, and EU project Digipredict Edge AI-deployed Digital Twins for covid-19 Cardiovascular Disease. ALB is a paid consultant for Generate Biomedicines, Flagship Pioneering, Porter Health, FL97, Tessera, FL85; has an equity stake in Generate Biomedicines; and receives research funding support from GlaxoSmithKline, National Heart, Lung, and Blood Institute, and National Institute of Diabetes and Digestive and Kidney Diseases. No other conflicts of interests with this specific work are declared.