Latest AI and machine learning research in endocrinology for healthcare professionals.
Cancer-associated fibroblasts promote tumor progression through growth facilitation, invasion, and i...
Ultrasound imaging can distinctly display the morphology and structure of internal organs within the...
Diabetic foot Ulceration (DFU) is a severe complication of diabetic foot syndrome, often leading to ...
Emerging evidence suggests a bidirectional relationship between colorectal cancer (CRC) and type 2 d...
Early detection of thyroid cancer improves patient survival rate from 51.9% to 99.9%. Fine needle as...
Biomarkers are crucial in aiding in disease diagnosis, prognosis, and treatment selection. Machine l...
Metabolic homeostasis requires engagement of catabolic and anabolic pathways consuming nutrients tha...
Accurate risk stratification is critical for guiding treatment decisions in early breast cancer. We ...
This study aimed to develop and validate convolutional neural network (CNN) models for distinguishin...
PURPOSE: To develop and evaluate orbital CT deep learning (DL) models in optic neuropathy (ON) predi...
OBJECTIVE: To develop a multimodal model to predict chronic kidney disease (CKD) in patients with ty...
BACKGROUND: Since the discovery of the life-saving hormone insulin in 1921 by Dr Frederick Banting i...
Metabolic dysfunction-associated steatohepatitis (MASH), the progressive inflammatory form of MASLD,...
Estrogen-related receptor Ī± (ERRĪ±) is considered a promising target for the treatment of cancer and ...
Intraoperative guidance plays a pivotal role in enhancing surgical success rates and optimizing pati...
The worldwide prevalence of overweight and obesity has increased rapidly in the last decades. This r...
After colorectal surgery, delayed gastric emptying (DGE) is a clinically significant postoperative c...
AIMS: Adrenal incidentalomas (AIs) encompass a wide range of clinical entities, from incidental beni...
As fine-needle aspiration techniques and diagnostic methodologies for thyroid nodules have continued...
This study investigates the feasibility of reducing manual image annotation costs in medical image d...
Non-Hispanic white (White) populations are overrepresented in medical studies. Potential healthcare ...