{"id":"W7144209090","doi":"10.71465/ajbe1549","title":"Advancements in Artificial Intelligence for Diagnostic Imaging in Biomedical Engineering","year":2023,"lang":"","type":"article","venue":"American Journal of Biomedical Engineering","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medical imaging; Applications of artificial intelligence; Diagnostic test; Field (mathematics); Clinical imaging; Clinical diagnosis; Diagnostic accuracy","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":[0.004565004,0.0009251155,0.0008211124,0.002564219,0.0005627201,0.0036059,0.001160239,0.002321462,0.004741456],"category_scores_gemma":[0.01291225,0.0004087076,0.0008680674,0.002397154,0.002938542,0.004520947,0.00213794,0.005785058,0.002384056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518151,"about_ca_system_score_gemma":0.001623397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009155946,"about_ca_topic_score_gemma":0.0008630496,"domain_scores_codex":[0.9967707,0.001076391,0.0002894916,0.0003284063,0.00142821,0.0001067217],"domain_scores_gemma":[0.987909,0.008559491,0.0004629043,0.0008117227,0.001936811,0.0003200019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009693654,0.0001581493,0.002369285,0.002480994,0.0001584746,0.0002793814,0.0004041242,0.008265026,0.005206533,0.3420672,0.03993377,0.5985801],"study_design_scores_gemma":[0.00003531807,0.0001541811,0.002790774,0.002417777,0.00009173329,0.001199968,0.000234035,0.03770483,0.004539727,0.4085218,0.5421673,0.0001424875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007194989,0.4469092,0.3611054,0.08084924,0.005673471,0.000141781,0.0002977399,0.0009558009,0.09687232],"genre_scores_gemma":[0.1590069,0.4775568,0.3207593,0.01211176,0.01279869,0.0002332855,0.0004216777,0.0003350034,0.01677654],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004741456,"threshold_uncertainty_score":0.02414232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009289769892134514,"score_gpt":0.2969583064967622,"score_spread":0.2876685366046277,"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."}}