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The recent updates in "Digital Health" are heavily dominated by the rapid integration of Artificial Intelligence (AI), especially Generative AI and Large Language Models (LLMs), across various applications.

Key developments include:

AI for Personalization and Diagnostics: AI is being used to create highly individualized patient care plans by analyzing large datasets, including wearable and Electronic Health Record (EHR) data. This is leading to advances in early disease detection (e.g., cancer, diabetes risk profiling) and more precise treatment recommendations.

Telehealth and Remote Patient Monitoring (RPM): The expanded use of wearable devices and IoT (Internet of Things) for continuous, real-time health monitoring is a major focus. Telehealth continues to be a vital tool for increasing access to care, particularly for rural and underserved communities.

Workflow Automation: LLMs and other AI tools are being deployed to streamline clinical workflows, such as automatically generating clinical documentation from patient-physician conversations, aiming to reduce administrative burden…

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