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Un algorithme pour prédire le diagnostic de maladies rares

Pour les ataxies cérébelleuses autosomiques récessives, cet outil se révèle plus performant que des experts humains.
Distinguer les cancers ­cutanés de tumeurs ­bénignes, dépister une rétinopathie diabétique, proposer une stratégie thérapeutique dans un cas complexe de cancer ou de maladie chronique… Voilà ce que des systèmes d’intelligence artificielle (IA) peuvent déjà faire en médecine, ou qu’ils feront demain. Dans ce même ­esprit d’aide au diagnostic et à la décision, le professeur Mathieu Anheim, neurologue au CHU de Strasbourg, et son équipe ont conçu et validé un algorithme pour des maladies rares du ­système nerveux : les ataxies ­cérébelleuses autosomiques récessives (ACAR)...

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