Date de début : 05.2024
Date de fin : 06.2025
Responsable : BULLIARD Jean-Luc
Équipe du mandat :
Mandant : Promotion santé Valais
Groupe de recherche : Épidémiologie du cancer (GEPIC)
Transpara ETAIS Valais (Evaluation of Transpara artificial intelligence software)
Artificial intelligence (AI) offers promising advancements in improving screening accuracy.
Traditional methods, requiring high-volume readings, often lead to fatigue and reading errors.
AI addresses these limitations by providing fatigue-free, reproducible results.
This study assesses the benefits and costs of an AI tool (Transpara) in detecting high-risk lesions in mammograms initially classified as negative by radiologists.