Machine learning in precision diabetes care and cardiovascular risk prediction

EK Oikonomou, R Khera - Cardiovascular Diabetology, 2023 - Springer
Artificial intelligence and machine learning are driving a paradigm shift in medicine,
promising data-driven, personalized solutions for managing diabetes and the excess …

Priorities for successful use of artificial intelligence by public health organizations: a literature review

S Fisher, LC Rosella - BMC Public Health, 2022 - Springer
Artificial intelligence (AI) has the potential to improve public health's ability to promote the
health of all people in all communities. To successfully realize this potential and use AI for …

Machine learning and deep learning predictive models for type 2 diabetes: a systematic review

L Fregoso-Aparicio, J Noguez, L Montesinos… - Diabetology & metabolic …, 2021 - Springer
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …

Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review

E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …

A sco** review of artificial intelligence-based methods for diabetes risk prediction

F Mohsen, HRH Al-Absi, NA Yousri, N El Hajj… - npj Digital …, 2023 - nature.com
The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health
complications highlight the need to develop predictive models for early diagnosis and …

Artificial intelligence in current diabetes management and prediction

A Nomura, M Noguchi, M Kometani, K Furukawa… - Current Diabetes …, 2021 - Springer
Abstract Purpose of Review Artificial intelligence (AI) can make advanced inferences based
on a large amount of data. The mainstream technologies of the AI boom in 2021 are …

[HTML][HTML] Preliminary evidence of the use of generative AI in health care clinical services: systematic narrative review

D Yim, J Khuntia, V Parameswaran… - JMIR Medical …, 2024 - medinform.jmir.org
Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …

Artificial intelligence for diabetes care: current and future prospects

B Sheng, K Pushpanathan, Z Guan, QH Lim… - The Lancet Diabetes & …, 2024 - thelancet.com
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …

Machine learning as a support for the diagnosis of type 2 diabetes

A Agliata, D Giordano, F Bardozzo, S Bottiglieri… - International Journal of …, 2023 - mdpi.com
Diabetes is a chronic, metabolic disease characterized by high blood sugar levels. Among
the main types of diabetes, type 2 is the most common. Early diagnosis and treatment can …

Artificial intelligence in diabetes management: advancements, opportunities, and challenges

Z Guan, H Li, R Liu, C Cai, Y Liu, J Li, X Wang… - Cell Reports …, 2023 - cell.com
The increasing prevalence of diabetes, high avoidable morbidity and mortality due to
diabetes and diabetic complications, and related substantial economic burden make …