{"id":"W4415719827","doi":"10.1093/burnst/tkaf071","title":"The role of artificial intelligence in burn assessment, complication diagnosis, and outcome prediction: a narrative review","year":2025,"lang":"en","type":"review","venue":"Burns & Trauma","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Narrative review; Psychological intervention; Burn injury; Total body surface area; MEDLINE; Burn wound; Complication; Health care","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00208292,0.001026627,0.0020613,0.004317024,0.0003135109,0.001909015,0.001190269,0.001456337,0.004080199],"category_scores_gemma":[0.008629823,0.0004036039,0.001844266,0.00403314,0.0005382331,0.001707721,0.0009400469,0.001607519,0.0009982516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009472566,"about_ca_system_score_gemma":0.003495384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182735,"about_ca_topic_score_gemma":0.003191551,"domain_scores_codex":[0.9990576,0.0002582629,0.0002752702,0.0001217149,0.0002470694,0.00004011708],"domain_scores_gemma":[0.9930376,0.00565915,0.0005648862,0.00009371909,0.000553912,0.00009072666],"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":[0.00009920252,0.00005237646,0.0003239457,0.2011477,0.0006580834,0.0001283779,0.0001455803,0.0005771395,0.0002516836,0.003469824,0.01916349,0.7739826],"study_design_scores_gemma":[0.00005258197,0.0002162105,0.002279628,0.2305075,0.003144949,0.001532782,0.0002050547,0.0005279127,0.000309265,0.004828544,0.756326,0.00006954217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005555144,0.9991416,0.0000968316,0.0002839728,0.00009970416,0.000009670457,0.00002490097,0.00000394526,0.0002838552],"genre_scores_gemma":[0.0005185733,0.9989408,0.0001892127,0.0001618302,0.00008793377,0.00001276798,0.00002518367,0.000001278547,0.00006242131],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004317024,"threshold_uncertainty_score":0.01364964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08334608692547871,"score_gpt":0.4218342116975287,"score_spread":0.3384881247720499,"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."}}