{"id":"W4410298014","doi":"10.1109/isbi60581.2025.10981103","title":"Shoulder Rotator Cuff Tear Detection from Ultrasound Videos Using Deep Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rotator cuff; Reinforcement learning; Computer science; Artificial intelligence; Ultrasound; Computer vision; Medicine; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004908302,0.0009863488,0.0005785961,0.0004382003,0.0001613163,0.0003702847,0.0007661099,0.0005955555,0.0008241306],"category_scores_gemma":[0.002398003,0.0002392809,0.0003852349,0.0001869909,0.0002373312,0.0004193696,0.0005208012,0.000787032,0.0003032867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004708475,"about_ca_system_score_gemma":0.0005315456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003407064,"about_ca_topic_score_gemma":0.003140639,"domain_scores_codex":[0.9997637,0.00005305609,0.00001698842,0.00008119187,0.0000458773,0.00003912092],"domain_scores_gemma":[0.9994716,0.0002230976,0.00009136222,0.00003463082,0.0001319568,0.00004725119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005141122,0.0005112951,0.007741323,0.0001966227,0.00009083555,0.000443521,0.0001197914,0.3377689,0.03234326,0.0007504751,0.005757913,0.613762],"study_design_scores_gemma":[0.00001244352,0.00008652171,0.0006049502,0.000009070151,0.00001104057,0.00003404275,0.00001128789,0.9951147,0.003385936,0.0004859113,0.0002383546,0.000005757872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2174594,0.001550511,0.7739967,0.0007629792,0.0002092142,0.000215429,0.0003301342,0.003178145,0.002297567],"genre_scores_gemma":[0.9165443,0.0003681319,0.08005373,0.0003192954,0.00008793823,0.0001339943,0.0004531328,0.00005169124,0.001987823],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003407064,"threshold_uncertainty_score":0.006774485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214570508337583,"score_gpt":0.3144411626095404,"score_spread":0.2929841117757821,"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."}}