Endocrinology

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

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[Clinical study of bilateral axillo-breast approach robot in obese women with thyroid cancer].

To explore the safety and feasibility of bilateral axillo-breast approach (BABA) robot in the operat...

Noninferiority of Artificial Intelligence-Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics.

Image analysis assistance with artificial intelligence (AI) has become one of the great promises ove...

[Mullerian Cyst in the Posterior Mediastinum Resected by Robot-assisted Thoracic Surgery:Report of a Case].

Mullerian cyst in the posterior mediastinum is a rare disorder. We report on the case of a woman in ...

IGF-1 stabilizes goat sperm mitochondrial transmembrane potential and reduces dna fragmentation.

BACKGROUND: Antioxidant present in sperm cells protects them from oxidative damage. However, sperm a...

Advancing Diabetic Retinopathy Diagnosis: Leveraging Optical Coherence Tomography Imaging with Convolutional Neural Networks.

Diabetic retinopathy (DR) is a vision-threatening complication of diabetes, necessitating early and ...

A knowledge-based decision support system for inferring supportive treatment recommendations for diabetes mellitus.

BACKGROUND: Diabetes Mellitus (DM) is a significant risk, mostly causing blindness, kidney failure, ...

Comparison of DaVinci Si and Xi robotic platforms for adrenal surgery. Effects on short term outcomes.

OBJECTIVES: To evaluate our experience and short term surgical outcomes between two robotic systems.

Relevance of Machine Learning to Predict the Inhibitory Activity of Small Thiazole Chemicals on Estrogen Receptor.

BACKGROUND: Drug discovery requires the use of hybrid technologies for the discovery of new chemical...

Artificial Intelligence in Efficient Diabetes Care.

Diabetes is a chronic disease that is not easily curable but can be managed efficiently. Artificial ...

Evaluation of voice function after BABA robotic thyroid lobectomy: A comparative analysis with endoscopic thyroid lobectomy.

The purpose of this study was to compare the effect of robotic thyroid lobectomy via Bilateral Axlio...

Global diabetes burden: analysis of regional differences to improve diabetes care.

INTRODUCTION: The current evaluation processes of the burden of diabetes are incomplete and subject ...

Research on multi-parameter fusion non-invasive blood glucose detection method based on machine learning.

OBJECTIVE: Traditional blood glucose testing methods have several disadvantages, such as high pain a...

Glucose trajectory prediction by deep learning for personal home care of type 2 diabetes mellitus: modelling and applying.

Glucose management for people with type 2 diabetes mellitus is essential but challenging due to the ...

Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach.

OBJECTIVE: People are increasingly encouraged to self-manage their chronic conditions; however, many...

A Diabetic Retinopathy Classification Framework Based on Deep-Learning Analysis of OCT Angiography.

PURPOSE: Reliable classification of referable and vision threatening diabetic retinopathy (DR) is es...

Collaborative Deep Learning for Privacy Preserving Diabetic Retinopathy Detection.

Convolutional Neural Networks (CNNs) are an emerging research area for detection of Diabetic Retinop...

Early Diabetes Prediction: A Comparative Study Using Machine Learning Techniques.

Most screening tests for Diabetes Mellitus (DM) in use today were developed using electronically col...

Treatment Prediction in the ICU Setting Using a Partitioned, Sequential Deep Time Series Analysis.

We developed a neural network architecture to evaluate the patient's state using temporal data, pati...

Artificial intelligence and thyroid disease management: considerations for thyroid function tests.

Artificial intelligence (AI) is transforming healthcare and offers new tools in clinical research, p...

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