Endocrinology

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

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Showing 1954-1974 of 6,521 articles
Classification of glucose-level in deionized water using machine learning models and data pre-processing technique.

Accurate monitoring of glucose levels is essential in the field of diabetes detection and prevention...

Dec 2024 39636913
Deep learning-driven multi-omics sequential diagnosis with Hybrid-OmniSeq: Unraveling breast cancer complexity.

BackgroundBreast cancer results from an uncontrolled growth of breast tissue. Many methods of diagno...

Dec 2024 40105178
Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective.

Early recognition of risk factors for prolonged mechanical ventilation (PMV) could allow for early c...

Dec 2024 39627490
Metabolomics-Based Machine Learning Models Accurately Predict Breast Cancer Estrogen Receptor Status.

Breast cancer is a global concern as a leading cause of death for women. Early and precise diagnosis...

Dec 2024 39684741
Potential impact of organophosphate esters on thyroid eye disease based on machine learning and molecular docking.

Organophosphate esters (OPEs) are widely used as flame retardants and plasticizers in daily commodit...

(1)
Dec 2024 39631328
Comparative evaluation of ChatGPT-4, ChatGPT-3.5 and Google Gemini on PCOS assessment and management based on recommendations from the 2023 guideline.

CONTEXT: Artificial intelligence (AI) is increasingly utilized in healthcare, with models like ChatG...

Dec 2024 39623241
A few-shot diabetes foot ulcer image classification method based on deep ResNet and transfer learning.

Diabetes foot ulcer (DFU) is one of the common complications of diabetes patients, which may lead to...

Dec 2024 39622873
Hybrid CNN-GRU Model for Real-Time Blood Glucose Forecasting: Enhancing IoT-Based Diabetes Management with AI.

For people with diabetes, controlling blood glucose level (BGL) is a significant issue since the dis...

(2)
Nov 2024 39686207
Interpretable time-series neural turing machine for prognostic prediction of patients with type 2 diabetes in physician-pharmacist collaborative clinics.

BACKGROUND: Type 2 diabetes (T2D) has become a serious health threat globally. However, the existing...

Nov 2024 39626597
Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models.

Thyroid illness encompasses a range of disorders affecting the thyroid gland, leading to either hype...

(1)
Nov 2024 39614307
Multiple-Instance Learning for thyroid gland disease classification: A hands-on experience.

The morphological diagnosis of thyroid gland neoplasms presents a dual challenge: it requires the ex...

(2)
Nov 2024 39612828
The added value of including thyroid nodule features into large language models for automatic ACR TI-RADS classification based on ultrasound reports.

OBJECTIVE: The ACR Thyroid Imaging, Reporting, and Data System (TI-RADS) uses a score based on ultra...

(1)
Nov 2024 39585560
Exploring acetylation-related gene markers in polycystic ovary syndrome: insights into pathogenesis and diagnostic potential using machine learning.

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a prevalent cause of menstrual irregularities and inf...

Nov 2024 39585802
An ultrasonography of thyroid nodules dataset with pathological diagnosis annotation for deep learning.

Ultrasonography (US) of thyroid nodules is often time consuming and may be inconsistent between obse...

Nov 2024 39580501
Artificial Intelligence to Diagnose Complications of Diabetes.

Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes. Artif...

Nov 2024 39578435
Robust diabetic prediction using ensemble machine learning models with synthetic minority over-sampling technique.

This paper addresses the pressing issue of diabetes, which is a widespread condition affecting a hug...

Nov 2024 39578517
Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to fatty acid metabolism-associated genes.

Sepsis, characterized as a systemic inflammatory response triggered by the invasion of pathogens, re...

Nov 2024 39578562
Automatic pituitary adenoma segmentation and identification of cavernous sinus invasion via multitask learning.

AIM: This study aimed to develop a multitask deep learning model for pituitary macroadenoma (PMA) se...

Nov 2024 39689622
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