This webinar will increase learner knowledge of

Learners who complete this activity will have strengthened knowledge of emerging digital health technologies and their application in clinical care and research. This activity reviews the convergence of extended reality (XR), artificial intelligence (AI), biosensing and digital twin technologies to enable more objective assessment, personalized interventions and improved patient outcomes. Content covers digital therapeutics, including regulatory pathways and reimbursement considerations, with emphasis on AI-driven, adaptive models and key challenges such as data variability, subjectivity of health outcomes and algorithmic fairness. This activity is designed to increase knowledge of digital health technologies and their potential to enhance clinical decision-making, patient monitoring and precision medicine approaches.