{"id":"W4414016233","doi":"10.1097/icu.0000000000001174","title":"Artificial intelligence oculomics for systemic health and longevity medicine: 2025 and beyond","year":2025,"lang":"en","type":"article","venue":"Current Opinion in Ophthalmology","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Modalities; Optical coherence tomography; Fundus photography; Artificial intelligence; Intensive care medicine; Medical physics; Retinal; Ophthalmology; Fluorescein angiography; Computer science","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":[0.001829525,0.0006360342,0.001191123,0.001279663,0.0002998381,0.002200563,0.0006970274,0.002262822,0.007814968],"category_scores_gemma":[0.003994298,0.0001820207,0.000793441,0.0009565267,0.0008546322,0.002129631,0.00109492,0.002625665,0.00261703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201583,"about_ca_system_score_gemma":0.002929793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009821521,"about_ca_topic_score_gemma":0.001237887,"domain_scores_codex":[0.9993293,0.0002177106,0.00009842113,0.00007510256,0.0002121455,0.00006734448],"domain_scores_gemma":[0.9967934,0.001824052,0.0003142179,0.00007746542,0.0007773961,0.0002134487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009716536,0.0000360656,0.0003294467,0.01224644,0.0001547514,0.0001242013,0.00009270337,0.0003988977,0.0005727915,0.01766274,0.09909473,0.86919],"study_design_scores_gemma":[0.0000224792,0.0001045251,0.0009103326,0.01413271,0.0001528077,0.0006098994,0.0001022389,0.0003648649,0.0002833415,0.01046849,0.9728208,0.00002743715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002176942,0.9822305,0.0006342717,0.0113944,0.002765259,0.0000156912,0.00005974283,0.00003801015,0.002644384],"genre_scores_gemma":[0.003279381,0.9838055,0.0009317654,0.006726412,0.00366902,0.00003150698,0.00009344555,0.00001239664,0.001450499],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007814968,"threshold_uncertainty_score":0.02614367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090808227498992,"score_gpt":0.456118662897296,"score_spread":0.3470378401473967,"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."}}