Recent research underscores AI's growing role in healthcare, from chronic disease management to hospital operations, while exposing gaps in evidence on patient outcomes. Systematic reviews and case ...
Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
This study externally validated a machine learning–based model for type 2 diabetes progression (ML-PR) and evaluated its clinical utility in individuals with prediabetes. We included 3,081 ...
Abstract: This paper presents an artificial intelligence-based early detection algorithm for diabetic patients. In 2024, the worldwide number of people with diabetes had increased to 588.7 million and ...
Vision-threatening diabetic retinopathy (VTDR) is a severe complication of type 2 diabetes mellitus (T2DM), particularly prevalent in patients with prolonged disease duration, poor glycemic control, ...
ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
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