Latest AI and machine learning research in endocrinology for healthcare professionals.
Anxiety has been linked to difficulty sustaining engagement with ongoing tasks, even when continued ...
Alzheimer's Disease is a chronic neurodegenerative disorder projected to affect 115 million people b...
Background: Although diabetes is a potent risk factor for the development of peripheral artery disea...
Purpose: To investigate how artificial intelligence (AI) systems detect referrable diabetic retinopa...
Offline reinforcement learning (ORL) offers the potential to improve the quality of clinical decisio...
Pharmacological interventions targeting the biological processes of ageing hold significant potentia...
Glucose forecasting algorithms are an important aspect of glycemic control management in type 1 diab...
Chronic disease management relies on regular patient-provider interactions to follow-up on disease p...
Dysglycemia, encompassing both prediabetes and diabetes, affects huge numbers of adults worldwide, y...
Patients diagnosed with type 2 diabetes (T2D) are at increased risk of developing cardiovascular dis...
Introduction: Precise anatomical navigation is fundamental to safe endoscopic pituitary surgery, a h...
Type 2 Diabetes (T2D) poses an increasing global health threat, demanding effective glycemic assessm...
Background. Type 2 diabetes mellitus (T2D) is defined by progressive pancreatic {beta}-cell dysfunct...
Background The European Association for the Study of the Liver (ESAL) - Steatotic Liver Disease (SLD...
Circulating-tumour DNA (ctDNA) carries evidence of drug resistance months before imaging shows it, b...
Clinicians diagnose brain tumors by synthesizing patient symptoms, medical history, and quantitative...
Background: This study aimed to evaluate real-world adverse event (AE) signals of EV to provide evid...
Human pancreatic islets exhibit greater anatomic and cellular heterogeneity than previously apprecia...
Clinicians diagnose brain tumors by synthesizing patient symptoms, medical history, and quantitative...
Postprandial hyperglycemia is a key risk factor for metabolic disorders; however, existing dietary g...
Background Machine learning (ML) models are increasingly used to predict adverse outcomes after surg...