TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
2024 · BMJ · 1,560 citations
https://doi.org/10.1136/bmj-2023-078378
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Patrícia Logullo
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Patrícia Logullo is an academic researcher from University of Oxford. The author has contributed to research in topics: Meta-analysis and systematic reviews & Clinical practice guidelines implementation & Delphi Technique in Research. The author has an h-index of 16, co-authored 58 publications.
ORCID: 0000-0001-8708-7003Papers by this author
worksProtocol 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 · BMJ Open · 724 citations
https://doi.org/10.1136/bmjopen-2020-048008
ACCORD (ACcurate COnsensus Reporting Document): A reporting guideline for consensus methods in biomedicine developed via a modified Delphi
2024 · PLoS Medicine · 444 citations
https://doi.org/10.1371/journal.pmed.1004326
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
2025 · BMJ · 208 citations
https://doi.org/10.1136/bmj-2024-082505
ACCORD guideline for reporting consensus-based methods in biomedical research and clinical practice: a study protocol
2022 · Research Integrity and Peer Review · 108 citations
https://doi.org/10.1186/s41073-022-00122-0
Reporting guidelines used varying methodology to develop recommendations
2023 · Journal of Clinical Epidemiology · 61 citations
https://doi.org/10.1016/j.jclinepi.2023.03.018
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