Latest AI and machine learning research in diabetes for healthcare professionals.
The present work presents the comparative assessment of four glucose prediction models for patients ...
AIMS/INTRODUCTION: Anemia has a close interaction with renal dysfunction in diabetes patients. More ...
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifyi...
Among the many related issues of diabetes management, its complications constitute the main part of ...
There has recently been much advancement in the diagnosis, treatment, and research of metabolic diso...
Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one ...
OBJECTIVE: To investigate the effects of general anaesthesia and general+epidural anaesthesia on the...
The hypertriglyceridemic waist (HW) phenotype is strongly associated with type 2 diabetes; however, ...
The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes kno...
In this paper, a non-invasive blood glucose sensing system is presented using near infra-red(NIR) sp...
OBJECTIVE: To evaluate the impact of the synthetic minority oversampling technique (SMOTE) on the pe...
OBJECTIVE: Inter-expert variability in image-based clinical diagnosis has been demonstrated in many ...
Supervised machine learning is a powerful tool frequently used in computer-aided diagnosis (CAD) app...
Minimizing the occurrence of hypoglycemia in patients with type 2 diabetes is a challenging task sin...
Intraoperative injury of the obturator nerve may occur in gynecologic oncologic procedures when exte...
Ocular complications reported after robotic-assisted laparoscopic radical prostatectomy (RALP) inclu...
Diabetes mellitus is a chronic disease and a worldwide public health challenge. It has been shown th...
Diabetic retinopathy is a leading cause of preventable blindness, yet access to regular screening re...
Machine learning systems are often developed under data-rich conditions but deployed when only incom...
Realistic few-shot adaptation of medical vision-language models (VLMs) can leave low-prevalence clas...
Background. In people with type 2 diabetes (T2D), postprandial glucose weighs on glycaemic control, ...