Latest AI and machine learning research in endocrinology for healthcare professionals.
Incorporating cloud technology with Internet of Medical Things for ubiquitous healthcare has seen ...
Diabetes, particularly Type 2 diabetes (T2D), poses a substantial global health burden, compounded...
ChatGPT, an artificial intelligence (AI) chatbot, can generate text prompts based on user input. Thi...
Parkinson disease (PD) is a chronic neurological disorder primarily characterized by a deficiency of...
Accurately predicting blood glucose (BG) levels of ICU patients is critical, as both hypoglycemia ...
BACKGROUND: Prediabetes and diabetes are both abnormal states of glucose metabolism (AGM) that can l...
INTRODUCTION: Individuals who develop new-onset diabetes have been identified as a high-risk cohort ...
Automatic subphenotyping from electronic health records (EHRs)provides numerous opportunities to u...
Brain tumor detection and classification are critical tasks in medical image analysis, particularl...
This study develops a cloud-based deep learning system for early prediction of diabetes, leveragin...
We employ the Hopfield model as a simplified framework to explore both the memory deficits and the...
The rising rates of diabetes necessitate innovative methods for its management. Continuous glucose...
The burden of undiagnosed diabetes mellitus (DM) is substantial, with approximately 240 million indi...
Objective: Molecular testing (MT) classifies cytologically indeterminate thyroid nodules as benign...
Single-cell RNA sequencing (scRNA-seq) is a powerful tool for elucidating cellular heterogeneity and...
Diabetes is a chronic disease with a significant global health burden, requiring multi-stakeholder...
Precise and timely forecasting of blood glucose levels is essential for effective diabetes managem...
Diabetes is a chronic disease characterised by a high risk of developing diabetic nephropathy, whi...
The study aims to investigate the similarities and differences in the brain damage caused by Hypox...
AIMS: To examine whether sublingual microcirculation can be used as an effective and noninvasive met...
This study developed and validated a machine learning model for predicting glycemic control in child...