Latest AI and machine learning research in endocrinology for healthcare professionals.
Background Risk stratification systems for thyroid nodules are often complicated and affected by low...
BACKGROUND: Self-monitoring blood glucose (SMBG) is facilitated by application available to analyze ...
Adequate reliability of measurement is a precondition for investigating individual differences and a...
UNLABELLED: Today, clinicians and researchers believe that mood disorders in children and adolescent...
We use Raman microscopic images with high spatial and spectral resolution to investigate differences...
OBJECTIVE: Atherosclerosis (AS) is the main pathological basis of ischemic cardio-cerebrovascular di...
Bone age assessment plays an important role in the endocrinology and genetic investigation of patien...
Objective: The main objective of this paper is to easily identify thyroid symptom for treatment. Met...
Rapid classification of tumors that are detected in the medical images is of great importance in the...
Despite the increasing literature on the association of diabetes with inflammation, cardiovascular ...
Current guidelines for treatment decision making largely rely on data from randomized controlled tri...
PURPOSE: To evaluate the potential value of machine learning (ML)-based histogram analysis (or first...
BACKGROUND: Interconnections between major cardiovascular events (MCVEs) and renal events are recogn...
Gestational alcohol exposure causes fetal alcohol spectrum disorder (FASD) and is a prominent cause ...
The aim of this study is to compare some machine learning methods with traditional statistical para...
Control of blood glucose is essential for diabetes management. Current digital therapeutic approache...
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we de...
BACKGROUND: In the past 20 years, the fast spread of new surgical technologies has reached an import...
Bone age assessment (BAA) has various clinical applications such as diagnosis of endocrine disorders...
PURPOSE: To develop a deep learning-based computer-aided diagnosis (CAD) system for use in the CT di...
Five years ago, robot-assisted transaxillary thyroidectomy (RATT) was introduced in the Netherlands....