{"id":"W4416217346","doi":"10.1016/j.landig.2025.100933","title":"Application of artificial intelligence and digital tools in cancer pathology","year":2025,"lang":"en","type":"article","venue":"The Lancet Digital Health","topic":"AI in cancer detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Digital pathology; Workflow; Applications of artificial intelligence; Precision medicine; Deep learning; Radiomics; Cancer","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":[0.01112284,0.0007020399,0.0006496561,0.004551032,0.0009934584,0.007567222,0.00232752,0.002997169,0.005817384],"category_scores_gemma":[0.02702877,0.0006389314,0.0009405705,0.003396149,0.005908329,0.005604171,0.006427271,0.004090693,0.002518984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003181497,"about_ca_system_score_gemma":0.002631147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001952046,"about_ca_topic_score_gemma":0.001988699,"domain_scores_codex":[0.991165,0.004504897,0.0004370447,0.0009072841,0.002737707,0.0002480762],"domain_scores_gemma":[0.9708611,0.02050915,0.001018346,0.004504618,0.00226338,0.0008434472],"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":[0.00008168738,0.00008599247,0.004891066,0.001411397,0.0001180212,0.0003582756,0.001128588,0.01026042,0.003069269,0.2583114,0.03038616,0.6898977],"study_design_scores_gemma":[0.00002578507,0.00009708796,0.002801955,0.001724503,0.00004310611,0.001010677,0.0006941169,0.02800649,0.00537829,0.5437258,0.416373,0.0001191111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01569834,0.06942643,0.695096,0.1004428,0.002581042,0.0004292262,0.001046446,0.004607592,0.1106721],"genre_scores_gemma":[0.2158902,0.05034284,0.7024834,0.01522972,0.00228904,0.0003813698,0.0008550958,0.000720205,0.01180809],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01112284,"threshold_uncertainty_score":0.05882388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06412705673087551,"score_gpt":0.3574766102014248,"score_spread":0.2933495534705494,"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."}}