Endocrinology

Latest AI and machine learning research in endocrinology for healthcare professionals.

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A machine learning model for predicting anatomical response to Anti-VEGF therapy in diabetic macular edema.

PURPOSE: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in ...

Empowering Pharmacists in Type 2 Diabetes Care: Opportunities for Prevention, Counseling, and Therapeutic Optimization.

Diabetes is a growing chronic disease with complications that impose a significant burden on healthc...

Analyzing the impact of occupational exposures on male fertility indicators: A machine learning approach.

Occupational exposures are critical factors affecting workers' reproductive health. This study inves...

A protein-based classifier for differentiating follicular thyroid adenoma and carcinoma.

Differentiating follicular thyroid adenoma (FTA) from carcinoma (FTC) remains challenging due to sim...

Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study.

BACKGROUND: Diabetes-related lower extremity complications, such as foot ulceration and amputation, ...

The analgesic mechanism of electroacupuncture at the central level for neuropathic pain: a review of studies based on animal experiments.

This article analyzes the progress of animal experiments on the analgesic mechanism of electroacupun...

Evaluating anti-VEGF responses in diabetic macular edema: A systematic review with AI-powered treatment insights.

Recent advances in deep learning and machine learning have greatly increased the capabilities of ext...

The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer.

Differentiation of adrenal incidentalomas (AIs) remains a challenge in the oncological setting. The...

Gastrointestinal microbiota and inflammasomes interplay in health and disease: a gut feeling.

The intricate interplay between the gut microbiota and the GI tract has garnered significant attenti...

Improving ACS prediction in T2DM patients by addressing false records in electronic medical records using propensity score.

Our study aims to improve the prediction performance of machine learning (ML) models by addressing f...

Global research trends in AI-assisted blood glucose management: a bibliometric study.

BACKGROUND: AI-assisted blood glucose management has become a promising method to enhance diabetes c...

DRPM: An advanced predictive model for early diabetes detection and risk stratification.

Diabetes is a prevalent chronic disease that poses a significant burden on individuals and healthcar...

A Comprehensive Workflow for Imaging Live Insulin Secretion Events and Granules in Intact Islets.

Accurate detection of insulin secretion from pancreatic beta cells is crucial for understanding norm...

Explainable Deep Learning System for Automatic Detection of Thyroid Eye Disease using Facial Images.

PURPOSE: To report an explainable deep learning (XDL) system to automatically detect thyroid eye dis...

A bidirectional reasoning approach for blood glucose control via invertible neural networks.

BACKGROUND AND OBJECTIVE: Despite the profound advancements that deep learning models have achieved ...

Tilorone attenuates high-fat diet-induced hepatic steatosis by enhancing BMP9-Smad1/5/8 signaling.

The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is rapidly increa...

AI-based multimodal prediction of lymph node metastasis and capsular invasion in cT1N0M0 papillary thyroid carcinoma.

BACKGROUND: Accurate preoperative evaluation of cT1N0M0 papillary thyroid carcinoma (PTC) is essenti...

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