{"id":"W4319333946","doi":"10.1111/den.14531","title":"Benefits and challenges in implementation of artificial intelligence in colonoscopy: World Endoscopy Organization position statement","year":2023,"lang":"en","type":"review","venue":"Digestive Endoscopy","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; University of British Columbia","funders":"Olympus; Ipsen; Mitsubishi Tanabe Pharma Corporation; Norgine; Otsuka Pharmaceutical; Braintree Laboratories; Ironwood Pharmaceuticals, Incorporated; Pfizer; Kyorin Pharmaceutical; EA Pharma Co., Ltd.; Japan Society for the Promotion of Science; Boston Scientific Corporation; European Commission","keywords":"Medicine; Colonoscopy; Position statement; Health care; Colorectal cancer; Medical physics; Family medicine; Cancer; 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":[0.06147788,0.001485381,0.001117628,0.001729537,0.00297333,0.01365853,0.003967279,0.04053543,0.004408292],"category_scores_gemma":[0.09457383,0.000779668,0.001946114,0.001475247,0.006191097,0.008744681,0.006740503,0.02724805,0.003511513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005681682,"about_ca_system_score_gemma":0.05667164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0124351,"about_ca_topic_score_gemma":0.01525874,"domain_scores_codex":[0.9582818,0.0113607,0.004607713,0.002250797,0.01990272,0.003596374],"domain_scores_gemma":[0.8608922,0.05793514,0.0134929,0.00335758,0.04487614,0.01944599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008813958,0.0001409064,0.001268649,0.0009805379,0.00006472575,0.0002084529,0.0003539713,0.0005530168,0.000303324,0.03679617,0.813175,0.1460671],"study_design_scores_gemma":[0.00009381968,0.0003151751,0.002543425,0.005329904,0.00009095648,0.0003153546,0.0004499438,0.0006769469,0.0005228197,0.01746588,0.97206,0.0001358785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003569789,0.01237716,0.0007003613,0.9695674,0.01109407,0.00004859762,0.00006977499,0.00003662441,0.005749009],"genre_scores_gemma":[0.01619476,0.03408734,0.008914252,0.8990417,0.0274106,0.0002830782,0.0003336247,0.0001217659,0.01361296],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06147788,"threshold_uncertainty_score":0.32513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129175005919323,"score_gpt":0.3961700548162078,"score_spread":0.2669950488968849,"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."}}