{"id":"W4415446504","doi":"10.1016/j.jacc.2025.09.1077","title":"TCT-894 Development and Internal Validation of an AI-Driven Model for 5-Year Cardiovascular Disease Risk Prediction in the Canadian Longitudinal Study on Aging: Comparative Performance vs. Traditional Risk Scores","year":2025,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Longitudinal study; Longitudinal data; Disease; Risk assessment; Risk factor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007476175,0.001042036,0.0006663005,0.001141967,0.0006566935,0.00108947,0.00162789,0.0006984929,0.001349116],"category_scores_gemma":[0.01312778,0.0003801483,0.00101063,0.0007700311,0.0002676178,0.000392116,0.0007832447,0.001025546,0.0009098484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690188,"about_ca_system_score_gemma":0.004164798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1269355,"about_ca_topic_score_gemma":0.1033202,"domain_scores_codex":[0.9984229,0.0006621447,0.0001115282,0.0002799617,0.0004039224,0.0001195509],"domain_scores_gemma":[0.9950937,0.002090657,0.0001821444,0.0002881931,0.002181965,0.0001633818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004201509,0.002089954,0.5240467,0.0002167966,0.002685096,0.0002920454,0.0004140585,0.1735839,0.007266071,0.001356581,0.02294783,0.2608995],"study_design_scores_gemma":[0.0004053032,0.0005932599,0.1291905,0.00004762401,0.0005499739,0.0001720015,0.0001009483,0.8603094,0.003929562,0.000806835,0.003835294,0.00005933396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318656,0.0004458185,0.05339516,0.0005030401,0.0001939797,0.0006212747,0.007772006,0.002164935,0.003038177],"genre_scores_gemma":[0.9415651,0.0001530849,0.04307895,0.0002016826,0.00004098075,0.0005268714,0.01209114,0.0002287157,0.002113497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8730645,"threshold_uncertainty_score":0.2523932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1714471894527884,"score_gpt":0.423482750785251,"score_spread":0.2520355613324626,"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."}}