Révolutionner l’imagerie du sein : le rôle de l’intelligence artificielle pour différencier précisément les lésions bénignes des lésions malignes
Résumé
Les avancées récentes dans le domaine de l’intelligence artificielle (IA) ont permis d’exploiter de grands ensembles de données grâce à l’informatique, pour améliorer les capacités de prédiction et de classification, qui sont cruciales pour la résolution de problèmes en radiologie. L’apprentissage automatique (AA - Machine Learning), qui est la force motrice derrière l’efficacité de l’IA, exploite des modèles et des algorithmes informatiques pour analyser des données brutes en vue d’effectuer des tâches de classification et de prédiction. L’IA utilise un réseau de neurones artificiels multicouche interconnectés émulant la structure neuronale complexe du cerveau humain. Ces couches incluent une couche d’entrée qui reçoit initialement les données, d’une couche cachée qui distingue les modèles de données et d’une couche de sortie qui présente les résultats des données traitées.
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