Endocrinology

Menopause

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

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Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women.

UNLABELLED: While FRAX with BMD could be more precise in estimating the fracture risk, DL-based mode...

Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Mineral Density Assessment From Low-Dose Chest Computed Tomography.

RATIONALE AND OBJECTIVES: To develop an intelligent diagnostic model for osteoporosis screening base...

The use of artificial intelligence to improve the scientific writing of non-native english speakers.

OBJECTIVE: Scientific writing in English is a daunting task for non-native English speakers. The cha...

Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT.

PURPOSE/OBJECTIVE: Reliable detection of thoracic aortic dilatation (TAD) is mandatory in clinical r...

Development of a machine learning multiclass screening tool for periodontal health status based on non-clinical parameters and salivary biomarkers.

AIM: To develop a multiclass non-clinical screening tool for periodontal disease and assess its accu...

Differentiating Between Sexual Offending and Violent Non-sexual Offending in Men With Schizophrenia Spectrum Disorders Using Machine Learning.

Forensic psychiatric populations commonly contain a subset of persons with schizophrenia spectrum di...

Pre-screening for non-diagnostic coronary computed tomography angiography.

AIMS: Indiscriminate coronary computed tomography angiography (CCTA) referrals for suspected coronar...

Impact of Iron Supplementation on Hospital Length of Stay for Pneumonia or Skin and Skin Structure Infections: A Retrospective Cohort Study.

Pathogenic organisms utilize iron to survive and replicate and have evolved many processes to extra...

A framework for proactive safety evaluation of intersection using surrogate safety measures and non-compliance behavior.

In recent years, identifying road users' behavior and conflicts at intersections have become an esse...

Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study.

BACKGROUND: This retrospective study aims to validate the effectiveness of artificial intelligence (...

Non-fragile guaranteed cost control of microbial fuel cells.

A microbial fuel cell (MFC), which is a new type of energy source, utilises electrogenic bacteria in...

Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems.

This paper proposes a deep learning approach for solving non-smooth convex optimization problems (NC...

Adaptive dynamic programming-based hierarchical decision-making of non-affine systems.

In this paper, the problem of multiplayer hierarchical decision-making problem for non-affine system...

Annotated dataset creation through large language models for non-english medical NLP.

Obtaining text datasets with semantic annotations is an effortful process, yet crucial for supervise...

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