Mobile Health

Mobile health (mHealth) leverages mobile devices and digital technologies to improve healthcare delivery and patient engagement, primarily aiming to enhance accessibility, personalization, and efficiency of care. Current research heavily emphasizes the use of machine learning, particularly reinforcement learning and contextual bandit algorithms, to optimize personalized interventions, improve diagnostic accuracy (e.g., using audio or image data), and enhance user engagement with mHealth applications. This field is significant for its potential to improve healthcare outcomes, particularly in resource-constrained settings, by enabling remote monitoring, data-driven decision-making, and the development of novel digital biomarkers.