From prevention to management: exploring AI’s role in metabolic syndrome management: a comprehensive review

From prevention to management: exploring AI’s role in metabolic syndrome management: a comprehensive review

Abstract Background This review aims to comprehensively explore the integration of artificial intelligence (AI) in the prevention, diagnosis, and treatment of metabolic syndrome (MetS). MetS is characterized by a cluster of conditions, posing a growing public health threat globally. Recognizing the...

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Bibliographic Details
Main Authors: Udit Choubey, Vashishta Avadhani Upadrasta, Inder P. Kaur, Himanshi Banker, Sai Gautham Kanagala, F. N. U. Anamika, Mini Virmani, Rohit Jain
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:The Egyptian Journal of Internal Medicine
Subjects:
Artificial intelligence
Metabolic syndrome
Insulin resistance
Weight loss
Syndrome X
Online Access:https://doi.org/10.1186/s43162-024-00373-x
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