Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management.
Cell Metab
; 36(4): 670-683, 2024 Apr 02.
Article
en En
| MEDLINE
| ID: mdl-38428435
ABSTRACT
The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of complex relationships from massive datasets. Initially, AI algorithms focused on improved interpretation of diagnostic studies such as chest X-rays and electrocardiograms in addition to predicting patient outcomes and future disease onset. However, AI has evolved with the introduction of transformer models, allowing analysis of the diverse, multimodal data sources existing in medicine today. Multimodal AI holds great promise in more accurate disease risk assessment and stratification as well as optimizing the key driving factors in cardiometabolic disease blood pressure, sleep, stress, glucose control, weight, nutrition, and physical activity. In this article we outline the current state of medical AI in cardiometabolic disease, highlighting the potential of multimodal AI to augment personalized prevention and treatment strategies in cardiometabolic disease.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Inteligencia Artificial
/
Enfermedades Cardiovasculares
Límite:
Humans
Idioma:
En
Revista:
Cell Metab
Asunto de la revista:
METABOLISMO
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos