Latest AI and machine learning research in endocrinology for healthcare professionals.
Background Unsupervised machine learning has become a cornerstone of computational phenotyping acros...
Methods INCA is a prospective, single-center cohort study with nationwide recruitment. Participation...
Abstract Background Despite a rising global psychiatric burden, a treatment gap persists where the m...
Background: Deep learning models can classify thyroid nodules on ultrasound, but reliable clinical d...
_ SURPASS-HF: Safety and Utility of Remote Pulmonary Artery Sensor Shared-management in Heart Failur...
The acceleration of automated scientific discovery has been fundamentally bottlenecked by the episte...
Background: Poor glycemic control is associated with cardiovascular disease (CVD) risk. However, it ...
Objective: Chronic care requires sequential treatment under competing biomarker, safety, and cost co...
Diabetic retinopathy (DR) is a local retinal lesion process and a visible manifestation of systemic ...
Endometrial cancer (EC) incidence is closely linked to metabolic and hormonal factors. The TyGFI, a ...
While Photoplethysmography (PPG) is established as a noninvasive optical tool for monitoring heart r...
Penile measurement is clinically relevant across male reproductive and urogenital health, including ...
Deep learning (DL) methods dominate thyroid nodule segmentation in ultrasound (US) images, achieving...
Background: Dopamine (DA) is a neurotransmitter critically involved in food-related reinforcement le...
Background Endometriosis is a complex, estrogen-dependent disease with a strong genetic component. A...
Structured tabular data dominates clinical medicine, yet existing benchmarks fail to reflect real-wo...
Abstract Background: Disability prediction in elderly with cardiometabolic multimorbidity (CMM) is l...
Predicting a patient's physiological trajectory under a planned treatment sequence is a prospective ...
Generative AI tools such as ChatGPT are increasingly used by the public to seek guidance on diet and...
Convolutional neural networks (CNNs) can classify thyroid nodules on ultrasound, yet published model...
Diagnosed diabetes affects approximately 38.4 million Americans, but its burden is not evenly distri...