Latest AI and machine learning research in endocrinology for healthcare professionals.
Diabetic foot Ulceration (DFU) is a severe complication of diabetic foot syndrome, often leading to ...
Ultrasound imaging can distinctly display the morphology and structure of internal organs within the...
Cancer-associated fibroblasts promote tumor progression through growth facilitation, invasion, and i...
Thyroid-associated ophthalmopathy (TAO) is an autoimmune disorder affecting the orbit, potentially r...
Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk ...
BACKGROUND: Papillary thyroid microcarcinoma (PTMC) is the most common malignant subtype of thyroid ...
BACKGROUND AND AIMS: More cases of thyroid micro-nodules have been diagnosed annually in recent year...
BACKGROUND: BRAF mutation is the most common genetic change in papillary thyroid carcinoma (PTC). Ne...
BACKGROUND: Predicting pituitary adenoma (PA) recurrence after surgical resection is critical for gu...
OBJECTIVE: To evaluate the diagnostic performance of a machine learning model combining deep learnin...
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 use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibi...
AIMS: Adrenal incidentalomas (AIs) encompass a wide range of clinical entities, from incidental beni...
After colorectal surgery, delayed gastric emptying (DGE) is a clinically significant postoperative c...
The worldwide prevalence of overweight and obesity has increased rapidly in the last decades. This r...
As fine-needle aspiration techniques and diagnostic methodologies for thyroid nodules have continued...
Non-Hispanic white (White) populations are overrepresented in medical studies. Potential healthcare ...
This study investigates the feasibility of reducing manual image annotation costs in medical image d...
High-throughput screening and computational models have been effective in predicting chemical intera...
Studies on Type 2 Diabetes Mellitus (T2DM) rely on specific metabolic networks to represent the intr...