biostudies-literatureUnknown10(6)Bhatt P<h4>Background</h4>Artificial intelligence (AI) has revolutionized health care delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning, to build predictive models for the early detection of diseases. Such predictive models leverage mobile health (mHealth) data from wearable sensors and smartphones to discover novel ways for detecting and managing chronic diseases and mental health conditions.<h4>Objective</h4>Currently, little is known about the use of AI-powered mHealth (AIM) settings. Therefore, this scoping review aims to map current research on the emerging use of AIM for managing diseases and promoting health. Our objective is to synthesize research in AIM models that have increasingly been used for health care delivery in the last JMIR mHealth and uHealthe35053https://www.ebi.ac.uk/biostudies/studies/S-EPMC9227797biostudies-literatureEmerging Artificial Intelligence-Empowered mHealth: Scoping Review.PMC9227797Liu JGuo YBhatt PGong YWang JfalseEmerging Artificial Intelligence-Empowered mHealth: Scoping Review.<h4>Background</h4>Artificial intelligence (AI) has revolutionized health care delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning, to build predictive models for the early detection of diseases. Such predictive models leverage mobile health (mHealth) data from wearable sensors and smartphones to discover novel ways for detecting and managing chronic diseases and mental health conditions.<h4>Objective</h4>Currently, little is known about the use of AI-powered mHealth (AIM) settings. Therefore, this scoping review aims to map current research on the emerging use of AIM for managing diseases and promoting health. Our objective is to synthesize research in AIM models that have increasingly been used for health care delivery in the last 2022-01-01T00:00:00Z2022 Jun2025-04-25T19:41:43.856Z2025-04-06T08:10:16.792ZS-EPMC92277973567910710.2196/35053