{"id":"W4410950895","doi":"10.2196/69564","title":"Patient Perspectives on Artificial Intelligence in Health Care: Focus Group Study for Diagnostic Communication and Tool Implementation","year":2025,"lang":"en","type":"article","venue":"Journal of Participatory Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto East General Hospital; University of Toronto","funders":"Agency for Healthcare Research and Quality","keywords":"Facilitator; Thematic analysis; Workflow; Session (web analytics); Usability; Health care; Focus group; Psychology; Medical education; Knowledge management; Qualitative research; Medicine; Computer science; Human–computer interaction; Social psychology; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001601393,0.0001159338,0.0003837048,0.0004007603,0.0001364548,0.00001140301,0.00006436819,0.0000428572,0.00003429098],"category_scores_gemma":[0.002013184,0.00009255746,0.00004163626,0.0002907603,0.0001111273,0.00009086775,0.00001634889,0.000252409,0.000001076673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004557402,"about_ca_system_score_gemma":0.0003375084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007051502,"about_ca_topic_score_gemma":0.001265952,"domain_scores_codex":[0.997758,0.0002682202,0.001332216,0.0001709127,0.0002594759,0.0002112273],"domain_scores_gemma":[0.9977414,0.00115967,0.0003670482,0.0002025404,0.0004122932,0.0001170206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001303932,0.001576897,0.07131369,0.0003009333,0.00008076574,0.00001311325,0.2151208,0.00009044728,0.0001461398,0.008493878,0.0009189547,0.7006404],"study_design_scores_gemma":[0.0005570072,0.01694848,0.08637361,0.001423685,0.0001781303,0.00001325415,0.8864465,0.0003618419,0.001633437,0.005391319,0.0005537029,0.000119043],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750806,0.005536598,0.002803495,0.01469139,0.0003830282,0.001470645,0.000001869688,0.000007456709,0.00002491412],"genre_scores_gemma":[0.9980221,0.0005676779,0.0003832921,0.0006919525,0.0001981483,0.0001197615,0.000005485371,0.000008669466,0.000002913751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7005213,"threshold_uncertainty_score":0.3774384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2081925679726888,"score_gpt":0.5280495804564875,"score_spread":0.3198570124837987,"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."}}