• Dr.K.L.V.G.K.Murthy
• Ch. SaiKalyanaDeepthi
• D. Sravani
• M. Vaishnavi
• N. Harshitha , N. Pavani

Artificial intelligence in mobile health has become prominent and it continues to grow, offering potential in personalization for chronic disease prevention and management. A variety of issues related to data privacy, security, quality assessment, and user engagement must be addressed to make them effective. This is a review of the delivery of mHealth apps using a creation-based framework for the delivery of the foregoing subjects of issues. Subsequently, such promising developments are taken up under future-orienting initiatives like the European WATHING the RISK Factors WARIFA project, which has the primary objective of enhancing AI-based mHealth applications despite the stumbling blocks. In addition, such AI techniques, in particular deep learning are very promising for wearable and smartphone data in the early detection and control of various diseases.

Artificial Intelligence, WARIFA, mHealth, European WATHING.

"ENHANCING OF MOBILE HEALTH APPLICATIONS USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.64-73, October-2024, Available :http://www.jetir.org/papers/JETIRGN06008.pdf

"ENHANCING OF MOBILE HEALTH APPLICATIONS USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. pp64-73, October-2024, Available at : http://www.jetir.org/papers/JETIRGN06008.pdf