{"id":"W4409224354","doi":"10.1117/12.3055539","title":"Development and translation of 3D ultrasound-based imaging systems for diagnostic and image-guided interventions","year":2025,"lang":"en","type":"article","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Translation (biology); Computer science; Medical imaging; Ultrasound; Ultrasound imaging; Medical physics; Computer vision; Artificial intelligence; Radiology; Medicine","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":[0.005758529,0.001288977,0.0008704818,0.003869339,0.0005124012,0.003321776,0.00297694,0.003135927,0.008521833],"category_scores_gemma":[0.009366786,0.001097931,0.001384611,0.001803002,0.002029685,0.002681557,0.002701662,0.003061642,0.004989554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001804547,"about_ca_system_score_gemma":0.001772843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398403,"about_ca_topic_score_gemma":0.001486912,"domain_scores_codex":[0.9955428,0.001077255,0.0003575322,0.0004806705,0.002405511,0.0001361649],"domain_scores_gemma":[0.9916394,0.001973383,0.0006132574,0.001332898,0.004043432,0.000397601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002731024,0.000149528,0.002251576,0.001347935,0.0001082657,0.0005265805,0.0007207046,0.01155403,0.0842964,0.07859222,0.02571465,0.7944649],"study_design_scores_gemma":[0.0001267946,0.001040719,0.005341579,0.001458686,0.0002161844,0.00348432,0.0003299656,0.09268037,0.06869135,0.04042644,0.7856925,0.0005111767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006583102,0.02462506,0.9313791,0.006924874,0.003001416,0.0004435797,0.0006675292,0.003933317,0.02244208],"genre_scores_gemma":[0.04680445,0.01740178,0.9205912,0.00409624,0.001477209,0.0004365944,0.0005807488,0.0005023192,0.008109462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008521833,"threshold_uncertainty_score":0.03045434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201041427208494,"score_gpt":0.3330116116407992,"score_spread":0.3110011973687142,"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."}}