{"id":"W4416964117","doi":"10.1109/embc58623.2025.11251547","title":"Video Summarization and Fracture Detection in Pediatric Wrist Ultrasound Using Deep Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Automatic summarization; Feature (linguistics); Feature extraction; Frame (networking); Sensitivity (control systems); Similarity (geometry); Pattern recognition (psychology); Task (project management)","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":[0.0005645897,0.0008327647,0.000600341,0.0004842078,0.0001764668,0.0003395265,0.0008135705,0.0006830029,0.0007616988],"category_scores_gemma":[0.002241511,0.0002453082,0.0004137947,0.0002559256,0.000257039,0.0004617726,0.0004455984,0.0008309476,0.0002172886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008335774,"about_ca_system_score_gemma":0.0007591011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007246033,"about_ca_topic_score_gemma":0.00542402,"domain_scores_codex":[0.9997452,0.000053196,0.00001665561,0.00008703547,0.0000571548,0.00004073563],"domain_scores_gemma":[0.9994861,0.0002235818,0.00008606655,0.00002896584,0.0001270931,0.00004823243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005363982,0.000391517,0.007647251,0.0001477799,0.00007776468,0.0003576895,0.000119772,0.5512502,0.01620844,0.0008415286,0.003752918,0.4186687],"study_design_scores_gemma":[0.00001263143,0.00009382157,0.0005720692,0.000004916715,0.000008556987,0.00002604943,0.000009167605,0.9962419,0.002421654,0.0003963231,0.0002088502,0.000004094317],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4145542,0.001769352,0.575824,0.001027687,0.0001678568,0.0002038627,0.000525156,0.003757653,0.002170282],"genre_scores_gemma":[0.9362373,0.0002971567,0.06071365,0.0002421735,0.0000589201,0.00009758099,0.0006564421,0.00004611629,0.001650575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007246033,"threshold_uncertainty_score":0.01440775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04409524883428458,"score_gpt":0.3710204243913701,"score_spread":0.3269251755570856,"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."}}