{"id":"W4399611640","doi":"10.1101/2024.06.13.24308884","title":"Artificial Intelligence in Depression – Medication Enhancement (AID-ME): A Cluster Randomized Trial of a Deep Learning Enabled Clinical Decision Support System for Personalized Depression Treatment Selection and Management","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Treatment of Major Depression","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Institut Universitaire en Santé Mentale de Québec; University of Toronto; University of Waterloo; McGill University Health Centre; Centre for Addiction and Mental Health; Western University; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Depression (economics); Randomized controlled trial; Selection (genetic algorithm); Cluster (spacecraft); Personalized medicine; Psychology; Artificial intelligence; Clinical psychology; Medicine; Psychiatry; Computer science; Bioinformatics; Internal medicine","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":[0.002363274,0.001024771,0.002182625,0.000401584,0.000365749,0.0009443451,0.0008113013,0.001383791,0.004282426],"category_scores_gemma":[0.002459761,0.0004657962,0.001477896,0.0003079612,0.001048711,0.00083095,0.0005076789,0.001948107,0.0003760388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007581543,"about_ca_system_score_gemma":0.0009614542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051058,"about_ca_topic_score_gemma":0.001136041,"domain_scores_codex":[0.9987137,0.0008321796,0.00008028655,0.0002073151,0.00006508527,0.0001013747],"domain_scores_gemma":[0.9987533,0.0005322864,0.0002027841,0.0001209792,0.00008273939,0.0003078518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9735208,0.008372894,0.0004763327,0.0003605338,0.0008698005,0.00001034926,0.00002496419,0.0007898798,0.0005654715,0.0001536733,0.0003292688,0.01452592],"study_design_scores_gemma":[0.9127622,0.08080766,0.001698471,0.00005217911,0.0006863863,0.000009757628,0.00002004912,0.003005733,0.0002867731,0.000327609,0.0003261445,0.00001701215],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894527,0.002459963,0.001317215,0.0008509517,0.0005145345,0.00386324,0.0003054587,0.0001141597,0.001121682],"genre_scores_gemma":[0.9897853,0.0007587494,0.003047363,0.0005024779,0.000280459,0.004350991,0.0002194423,0.000008637864,0.001046534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004282426,"threshold_uncertainty_score":0.0143261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03581441500966774,"score_gpt":0.3671589792813706,"score_spread":0.3313445642717028,"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."}}