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[Development of an artificial intelligence system to improve cancer clinical trial eligibility screening].
Maud Gédor
Emmanuel Desandes
Mélanie Chesnel
Jean-Louis Merlin
Frédéric Marchal
Aurélien Lambert
Arnaud Baudin
Published in:
Bulletin du cancer (2024)
This study suggests that artificial intelligence could yield sizable improvements over standard practices in several aspects of the patient screening process, as well as in approaches to feasibility, site selection, and trial selection.
Keyphrases
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artificial intelligence
clinical trial
machine learning
big data
deep learning
phase ii
study protocol
phase iii
primary care
papillary thyroid
healthcare
open label
randomized controlled trial
squamous cell
double blind
lymph node metastasis