{"id":"W4396815160","doi":"10.1136/bmjonc-2023-000255","title":"Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review","year":2024,"lang":"en","type":"review","venue":"BMJ Oncology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Medical Research Council; Rosetrees Trust","keywords":"Psychological intervention; Medicine; Artificial intelligence; Health care; Systematic review; MEDLINE; Population; Clinical trial; Computer science; Nursing; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004101794,0.0002998947,0.002982001,0.000407263,0.00005413513,0.00001862538,0.0001604802,0.0004358943,0.0000391329],"category_scores_gemma":[0.003849495,0.0002333928,0.0006465126,0.001012814,0.00005810772,0.0000845649,0.00003596583,0.0004369722,0.00007620831],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275493,"about_ca_system_score_gemma":0.005876854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003272933,"about_ca_topic_score_gemma":0.001179661,"domain_scores_codex":[0.9954589,0.0005963965,0.002681155,0.0005658417,0.0004108512,0.0002868271],"domain_scores_gemma":[0.9960183,0.001638311,0.0008748101,0.0005077705,0.0008716327,0.00008919469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000006912572,0.0001757813,0.00001749423,0.513543,0.0001307372,0.000003219537,0.0002596197,0.000001475565,1.353336e-7,0.0007033035,0.0002141201,0.4849442],"study_design_scores_gemma":[0.00002527311,0.0003650037,0.000001841143,0.9306091,0.0263056,0.00003815649,0.0005704835,0.0007846343,0.0000139781,0.00497706,0.03604232,0.0002665593],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000012988,0.9506749,0.001092951,0.0005546602,0.0008403724,0.04669221,0.00006482434,0.00003084731,0.00003624069],"genre_scores_gemma":[0.0003270486,0.8056215,0.0003419947,0.0002354075,0.0003715368,0.192927,0.0001146121,0.00004093706,0.00002001162],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4846776,"threshold_uncertainty_score":0.9997589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6205738164116213,"score_gpt":0.6289483577400716,"score_spread":0.00837454132845028,"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."}}