In current years, Artificial Intelligence (AI) has altered healthcare, with a focus on progressive AI techniques for ailment prediction using mHealth dossier from wearables and smartphones. This scoping review aims to explore the arising use of AI-powered mHealth (AIM) in disease administration and health promotion, outlining research from the past two years. Utilizing established foundations, AIM literature from biomedical technology, AI, and news systems was reviewed. Searches were attended in relevant databases using keywords. Items on AIM were included, while technical-only AI items were excluded. Consumed 121 screened articles, 40 join the criteria. These articles called various aspects of AIM, in the way that detecting mental health issues and never-ending conditions and enabling detached patient monitoring. AIM studies generally focused on mental and material health, often utilizing proprietary datasets. In conclusion, AIM is a increasing research field, offering accurate guessws for preventive healthcare. Current AI techniques like federated knowledge and explainable AI can enhance AIM maintenance and secure data sharing in the healthcare manufacturing.
Author(s) Details:
Jitendra Patel,
GMERS
Medical College, Vadnagar, Gujarat, HNGU, Patan, India.
Charu
Mishra,
Madhav
Prasad Tripathi Medical College, Distt. Siddharth Nagar, Uttar Pradesh, India.
Uditkumar Agrawal,
Biochemistry Department, NSC Government Medical College, Khandwa,
India.
R. Pavani,
Government Medical College Adoni, Kurnool District, Andhra Pradesh,
India.
Yogesh Kumar Yadav,
Rajarshi
Dashrath Autonomous State Medical College, Distt. Ayodhya, Uttar Pradesh,
India.
Roja
V. R.,
St.
John’s Research Institute, St. John Medical College, Bangalore, Karnataka,
India.
Pratik N. Akhani,
Department of Physiology, GMERS Medical College, Dharpur,
Patan-384265, Gujarat, India.
Please see the link here: https://stm.bookpi.org/ACMMR-V7/article/view/12668
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