NIHR Birmingham Biomedical Research Centre
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.
2024 · 1.459 Zit.
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.
2020 · 892 Zit.
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan et al.
2020 · 541 Zit.
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.
2020 · 538 Zit.
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan et al.
2020 · 387 Zit.
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.
2020 · 334 Zit.
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan et al.
2020 · 308 Zit.
The value of standards for health datasets in artificial intelligence-based applications
Anmol Arora, Joseph Alderman, Joanne Palmer et al.
2023 · 235 Zit.
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.
2025 · 185 Zit.
Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines
Hussein Ibrahim, Xiaoxuan Liu, Samantha Cruz Rivera et al.
2021 · 124 Zit.
PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare
Giovanni Cacciamani, Timothy N. Chu, Daniel I. Sanford et al.
2023 · 113 Zit.
Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies
Samantha Cruz Rivera, Xiaoxuan Liu, Sarah Hughes et al.
2023 · 78 Zit.
Tackling bias in AI health datasets through the STANDING Together initiative
Shaswath Ganapathi, Joanne Palmer, Joseph Alderman et al.
2022 · 77 Zit.
The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022)
Finlay J Pearce, Samantha Cruz Rivera, Xiaoxuan Liu et al.
2023 · 74 Zit.
Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines
Alexander P. L. Martindale, Carrie Llewellyn, Richard de Visser et al.
2024 · 33 Zit.