Endocrinology

A systematic review of the use of artificial intelligence in mental health-based diabetes care: Current applications and future directions.

AIMS: To map and systematise existing research on the use of artificial intelligence (AI) in mental ...

Association between triglyceride-glucose index and related indicators with heart failure-related mortality in individuals with early-stage cardiovascular-kidney-metabolic syndrome.

BACKGROUND: Insulin resistance is a central pathophysiological feature of cardiovascular-kidney-meta...

The transformative role of artificial intelligence in gestational diabetes mellitus: advancements in screening, management, and long-term outcome prediction.

PURPOSE: Artificial intelligence (AI) has emerged as a pivotal tool in enhancing the management of g...

Machine Learning Models to Evaluate County-Level Incidence of Diagnosed Diabetes and Sociodemographic Factors.

AIMS: To evaluate county-level incidence of diagnosed diabetes and key sociodemographic factors in a...

Algorithm-guided insulin therapy in hospitalized patients: current evidence, implementation challenges, and future perspectives.

Artificial intelligence-assisted FTIR spectroscopy for hormone receptor subtyping in formalin-fixed breast Cancer tissues.

BACKGROUND: Determination of estrogen receptor (ER) and progesterone receptor (PR) status is critica...

Perspective on applicability of data-driven machine learning computational new approach methodologies for hazard identification in chemicals risk assessment.

Machine Learning (ML) and Artificial Intelligence (AI) approaches have potential to make better-info...

Multi-dimensional CT feature screening, construction, and validation of a clinical diagnostic model for thyroid eye disease.

OBJECTIVE: Thyroid eye disease (TED) is an autoimmune condition associated with thyroid dysfunction,...

Development and validation of a highly accurate multigene gene expression biomarker to predict chemotherapy response in primary triple-negative breast cancer.

PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype lacking estrogen and progeste...

Quantitative regression of qFibrosis with resmetirom: Exploratory histologic endpoints from the MAESTRO-NASH phase III clinical trial.

BACKGROUND & AIMS: Resmetirom, a thyroid hormone beta (THR-β) agonist, has been shown to improve met...

Cardiovascular outcomes and subclinical atherosclerosis in metabolic-associated steatotic liver disease: long-term follow-up from a specialized outpatient cohort.

BACKGROUND AND AIMS: Cardiovascular disease is the main cause of mortality in metabolic-associated s...

Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease.

The gut microbiome plays a vital role in maternal health and pregnancy outcomes, yet its impact on c...

Ten-Year Trends in Healthcare Use and Costs for People Living with Diabetes in France: Results from the Epicodiab Study Based on National Claims Data.

INTRODUCTION: Diabetes remains a global public health concern, with increased prevalence and a signi...

Implantable microelectrode biosensors for monitoring neurometabolic markers.

Implantable microelectrode biosensors enable the monitoring of neurometabolic markers with high spat...

Can artificial intelligence bridge the gaps for primary diabetes care in low-income and middle-income countries?

Artificial intelligence (AI) has the potential to improve primary diabetes care in low-income and mi...

Imaging-Based Prediction of Key Breast Cancer Biomarkers Using Deep Learning on Digital Breast Tomosynthesis.

OBJECTIVE: To evaluate the feasibility of using deep learning models applied to digital breast tomos...

Longitudinal and Multimodal Recording System to Capture Real-World Patient-Clinician Conversations for AI and Encounter Research: Protocol for an Observational Study.

BACKGROUND: The promise of artificial intelligence (AI) in medicine depends on its ability to learn ...

An enhanced diabetic retinopathy detection approach using optimized deep learning technique.

Diabetic Retinopathy (DR) remains a leading cause of vision loss among diabetic patients, underscori...

Digital twin technologies for supporting self-care in adults with diet-related chronic conditions: a systematic review.

BACKGROUND: Diet-related chronic conditions are major contributors to global morbidity and mortality...

Sex Differences in the Associations Between Visceral Adiposity and Hepatic Insulin Clearance in Type 2 Diabetes Mellitus: A Quantitative CT Study.

AIMS: To investigate sex-related differences in the association of body fat distribution with hepati...

Development and validation of a risk prediction model for diabetic peripheral neuropathic pain in type 2 diabetes: A machine learning and statistical approach.

OBJECTIVE: To identify independent risk factors for diabetic peripheral neuropathic pain (DPNP), con...