[Development of an artificial intelligence system to improve cancer clinical trial eligibility screening].
Fiche publication
Date publication
mars 2024
Journal
Bulletin du cancer
Auteurs
Membres identifiés du Cancéropôle Est :
Dr DESANDES Emmanuel, Pr MARCHAL Frédéric, Pr MERLIN Jean-Louis, Dr LAMBERT Aurélien
Tous les auteurs :
Gédor M, Desandes E, Chesnel M, Merlin JL, Marchal F, Lambert A, Baudin A
Lien Pubmed
Résumé
The recruitment step of all clinical trials is time consuming, harsh and generate extra costs. Artificial intelligence tools could improve recruitment in order to shorten inclusion phase. The objective was to assess the performance of an artificial intelligence driven tool (text mining, machine learning, classification…) for the screening and detection of patients, potentially eligible for recruitment in one of the clinical trials open at the "Institut de Cancérologie de Lorraine".
Mots clés
Artificial intelligence, Cancer, Clinical research, Dossier médical informatisé, Electronic medical record, Intelligence artificielle, Recherche clinique
Référence
Bull Cancer. 2024 03 18;: