Trends in the use of artificial intelligence in the treatment of diabetic foot
DOI:
https://doi.org/10.56294/pod2025152Keywords:
Diabetic Foot Ulcer, Diabetes Mellitus, Artificial Intelligence, Machine LearningAbstract
Introduction: Diabetes mellitus is a chronic disease with high incidence and prevalence worldwide, whose complications negatively affect the patient's quality of life. The incorporation of artificial intelligence in diabetic foot care shows potential for early detection and better decision-making.
Objective: to describe trends in the use of artificial intelligence in the management of diabetic foot.
Method: a search for information was conducted in the Scopus and SciELO databases. A search strategy using keywords and Boolean operators was employed.
Development: Artificial intelligence is revolutionizing healthcare through early detection and prevention of ulcers. Through predictive models, image analysis, and remote monitoring, it personalizes treatments and standardizes evaluations, resulting in more effective and cost-effective interventions for the system.
Conclusions: Artificial intelligence is a valuable tool in the management of diabetic foot, initiating a paradigm shift from an ulcer-centered model to a comprehensive, proactive, and predictive approach. This change is based on key advances: the enhancement and objectification of clinical diagnosis, the capacity for continuous, real-time monitoring, the anticipation of serious complications, and the democratization of care and patient empowerment.
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