{"id":"W2806424800","doi":"10.1016/j.jcjo.2018.04.019","title":"Deep learning in ophthalmology: a review","year":2018,"lang":"en","type":"review","venue":"Canadian Journal of Ophthalmology","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Deep learning; Optical coherence tomography; Macular degeneration; Modalities; Glaucoma; Optometry; Diabetic retinopathy; Medicine; Cataracts; Computer science; Artificial intelligence; Ophthalmology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001321077,0.000947197,0.001827039,0.003210428,0.0002916955,0.00165676,0.00126644,0.001748753,0.004428191],"category_scores_gemma":[0.003598889,0.0004637798,0.001149499,0.003775336,0.0006766007,0.002370369,0.001281349,0.002018676,0.001025017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008525513,"about_ca_system_score_gemma":0.003266162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003361176,"about_ca_topic_score_gemma":0.006144786,"domain_scores_codex":[0.9996418,0.00006561688,0.00009274253,0.00006373639,0.0001033146,0.0000328299],"domain_scores_gemma":[0.9980793,0.001181818,0.0002460901,0.0000332896,0.0003538842,0.0001056982],"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":[0.0001076817,0.00008817015,0.0005850291,0.05028809,0.0004545847,0.0001786813,0.00005891361,0.0006001096,0.0003791412,0.002055369,0.03766326,0.907541],"study_design_scores_gemma":[0.0001457835,0.0002971638,0.003869011,0.06133626,0.002718401,0.002520932,0.000241044,0.00101686,0.0006822878,0.005921118,0.9211231,0.0001281558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007173351,0.9992301,0.000119442,0.0002406091,0.0001217844,0.000003417123,0.0000185201,0.000003759129,0.0001905714],"genre_scores_gemma":[0.0007473151,0.9983146,0.0002507061,0.0002901153,0.0002220617,0.000004594142,0.00002529093,0.000001598617,0.0001437003],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004428191,"threshold_uncertainty_score":0.01481372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06710786722469497,"score_gpt":0.3817603809811355,"score_spread":0.3146525137564405,"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."}}