Endocrinology

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

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[Radiosurgery of benign intracranial lesions. Indications, results , and perspectives].

Stereotactic radiosurgery (SRS) is a non-invasive technique that is transforming the management of b...

Optoelectronic-Coupled-Driven Microrobot for Biological Cargo Transport in Conductive Isosmotic Glucose Solution.

Electric field-driven micro/nanorobots, as micro/nanodevices with autonomous motion capability, have...

Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.

Breast cancer (BC) is among the most prevalent malignancies and remains the leading cause of cancer-...

Application of Hyperspectral Imaging and Machine Learning for Differential Diagnosis of Hashimoto's Thyroiditis and Papillary Thyroid Carcinoma.

BACKGROUND: Hashimoto's thyroiditis (HT) and papillary thyroid carcinoma (PTC) often share similar f...

Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction.

BACKGROUND: Differentiated thyroid cancer (DTC) is a common endocrine malignancy with rising inciden...

Predicting dementia in people with Parkinson's disease.

Parkinson's disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experien...

Improving AI models for rare thyroid cancer subtype by text guided diffusion models.

Artificial intelligence applications in oncology imaging often struggle with diagnosing rare tumors....

Next-generation Approaches in Targeting Polycystic Ovarian Syndrome: Innovative Strategies.

Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder that affects millions of women worl...

Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study.

BACKGROUND: Short stature is a prevalent pediatric endocrine disorder for which early detection and ...

Application of interpretable machine learning algorithms to predict macroangiopathy risk in Chinese patients with type 2 diabetes mellitus.

Macrovascular complications are leading causes of morbidity and mortality in patients with type 2 di...

The march to harmonized imaging standards for retinal imaging.

The adoption of standardized imaging protocols in retinal imaging is critical to overcoming challeng...

Machine learning for the prediction of diabetes-related amputation: a systematic review and meta-analysis of diagnostic test accuracy.

Although machine learning is frequently used in medicine for predictive purposes, its accuracy in di...

A deep learning framework for virtual continuous glucose monitoring and glucose prediction based on life-log data.

While continuous glucose monitoring (CGM) has revolutionized metabolic health management, widespread...

Targeting Metabolic Reprogramming in Bladder Cancer Immunotherapy: A Precision Medicine Approach.

Bladder cancer, as a highly heterogeneous malignant tumor of the urinary system, is significantly af...

The iCARE-DM Model for Five-Year T2DM Risk Prediction in the Elderly Population from Chinese Routine Public Health Services - China, 2017-2024.

INTRODUCTION: Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes M...

Dynamic AI Ultrasound-Assisted Diagnosis System to Reduce Unnecessary Fine Needle Aspiration of Thyroid Nodules.

OBJECTIVES: This study aims to compare the diagnostic efficiency of the American College of Radiolog...

Endometrial tumorigenesis involves epigenetic plasticity demarcating non-coding somatic mutations and 3D-genome alterations.

BACKGROUND: The incidence and mortality of endometrial cancer (EC) is on the rise. Eighty-five perce...

Noninvasive blood glucose monitoring using a dual band microwave sensor with machine learning.

The potential for continuous non-invasive blood glucose monitoring has attracted a lot of interest i...

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study.

BACKGROUND: Diabetes has emerged as a critical global public health crisis. Prediabetes, as the tran...

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