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Record W3136960503 · doi:10.1038/s41591-020-1037-7

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

2020· review· en· W3136960503 on OpenAlexafffund
Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan, Alastair K. Denniston, Melanie Calvert, Ara Darzi, Christopher Holmes, Christopher Yau, David Moher, Hutan Ashrafian, Jonathan J Deeks, Lavinia Ferrante di Ruffano, Livia Faes, Sebastian J. Vollmer, Aaron Lee, Adrian Jonas, Andre Esteva, Andrew L. Beam, Maria Beatrice Panico, Cecilia S. Lee, Charlotte Haug, Christophe J. Kelly, Cynthia D. Mulrow, Cyrus Espinoza, John Fletcher, Dina N. Paltoo, Elaine Manna, Gary Price, Gary S. Collins, Hugh Harvey, James Matcham, João Monteiro, M. Khair ElZarrad, Luke Oakden‐Rayner, Melissa D. McCradden, Richard S. Savage, Robert Golub, Rupa Sarkar, Samuel Rowley

Bibliographic record

VenueNature Medicine · 2020
Typereview
Languageen
FieldMedicine
TopicArtificial Intelligence in Healthcare and Education
Canadian institutionsHospital for Sick ChildrenUniversity of OttawaOttawa HospitalWomen's College Hospital
FundersU.S. National Library of MedicineNational Eye InstituteNIH Office of the DirectorNational Heart, Lung, and Blood InstituteDepartment of Health and Social CareMedical Research CouncilBirmingham Biomedical Research CentreResearch EnglandU.S. Food and Drug AdministrationUK Research and InnovationSurgical Reconstruction and Microbiology Research CentreUniversity Hospitals Birmingham NHS Foundation TrustNational Institutes of HealthNational Institute for Health Research Applied Research Collaboration WestWellcomeAlan Turing InstituteUniversity of BirminghamUniversity of WarwickEngineering and Physical Sciences Research CouncilUniversity of OttawaMacmillan Cancer SupportCancer Research UKWellcome TrustHarvard T.H. Chan School of Public HealthNational Institute for Health and Care ResearchAccentureEuropean Regional Development FundUCB PharmaImpact Fund
KeywordsExtension (predicate logic)Psychological interventionClinical trialMedicineComputer scienceIntensive care medicineArtificial intelligencePathologyPsychiatryProgramming language

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.617
metaresearch head score (Gemma)0.672
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.383
Threshold uncertainty score0.473

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6170.672
Meta-epidemiology (narrow)0.0040.008
Meta-epidemiology (broad)0.0090.020
Bibliometrics0.0130.016
Science and technology studies0.0050.010
Scholarly communication0.0160.011
Open science0.0110.012
Research integrity0.0260.035
Insufficient payload (model declined to judge)0.0210.041

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.892
GPT teacher head0.734
Teacher spread0.158 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations608
Published2020
Admission routes2
Has abstractyes

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