Artificial Intelligence (AI) is no longer a futuristic concept in healthcare; it is here, transforming how medical professionals diagnose, treat, and manage diseases. From predicting patient outcomes to optimizing hospital operations, AI has proven its value. However, a significant challenge persists: trust. In a sector where lives are on the line, decisions cannot be made on the "black-box" outputs of AI systems. This is where Explainable AI (XAI) steps in, bridging the gap between technological innovation and human understanding.
DataScienceMachineLearningSoftwareDevelopmentWebDevelopmentDataAnalysisPredictiveAlgorithmsDataDrivenAITechInnovationContinuousLearningSoftwareEngineeringDatabaseManagementTeamCollaborationLearningJourneyMilanoTechCareerEmergingTechnologiesDataChallengesUniversityOfMilanoBicoccaProfessionalGrowthTechCommunity