{"id":"W4415988375","doi":"10.1038/s41746-025-02035-w","title":"A generalizable 3D framework and model for self-supervised learning in medical imaging","year":2025,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Vector Institute; Sunnybrook Health Science Centre; University of Toronto","funders":"Google Research; National Institute of Mental Health; National Institute on Aging; Faculty of Health Sciences, Queen's University; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, Los Angeles; Genentech; National Institutes of Health; H. Lundbeck A/S; Servier; Temerty Family Foundation; Eisai; McDonnell Center for Systems Neuroscience; Queen's University; University of Ottawa; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; BioClinica; Biogen; Pfizer; Centre for Addiction and Mental Health Foundation; IXICO; Alliance de recherche numérique du Canada; Bristol-Myers Squibb; Government of Ontario; London Health Sciences Foundation; Northern California Institute for Research and Education; McMaster University; Novartis Pharmaceuticals Corporation; Eli Lilly and Company; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Generalizability theory; Medical imaging; Limiting; Pretext; Visualization; Medical diagnosis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001880183,0.001157356,0.001242558,0.00110692,0.0005014099,0.001299565,0.004145889,0.002394184,0.002473945],"category_scores_gemma":[0.00428356,0.0009809714,0.001924043,0.001103814,0.001434689,0.001501059,0.002727511,0.003349739,0.001928897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086061,"about_ca_system_score_gemma":0.00134951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005908425,"about_ca_topic_score_gemma":0.008598796,"domain_scores_codex":[0.9991156,0.000278344,0.00003827399,0.0003269762,0.0001803024,0.00006050621],"domain_scores_gemma":[0.9987659,0.0004738291,0.0001049845,0.0003466487,0.0002247332,0.00008374946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000172466,0.0001548666,0.001564089,0.0002506835,0.0001513033,0.0001360213,0.0001655883,0.7597994,0.008375598,0.01877638,0.02119634,0.1892573],"study_design_scores_gemma":[0.000007464119,0.0000236755,0.0001272941,0.00001112921,0.000005769365,0.00004264281,0.000006482157,0.9884229,0.0009991875,0.00861793,0.001726425,0.00000897235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00417771,0.0003575691,0.991641,0.0002883282,0.0000466469,0.0000696393,0.0004250847,0.002450738,0.0005431883],"genre_scores_gemma":[0.248155,0.0009648505,0.7337968,0.001523311,0.0002924382,0.00101678,0.00578034,0.001701404,0.006768976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005908425,"threshold_uncertainty_score":0.01174808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315457993545666,"score_gpt":0.2818658981233288,"score_spread":0.2687113181878721,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}