Latest AI and machine learning research in endocrinology for healthcare professionals.
PURPOSE: Heatmapping techniques can support explainability of deep learning (DL) predictions in medical image analysis. However, individual techniques have been mainly applied in a descriptive way without an objective and systematic evaluation. We investigated comparative performances using diabetic retinopathy lesion detection as a benchmark task.
OBJECTIVE: Adrenal insufficiency (AI), if not diagnosed in a timely manner, can lead to fatal outcomes. Here we describe an unusual case of AI secondary to disseminated histoplasmosis (DH) and the importance of being aware of the association of infections and AI.
OBJECTIVE: Concurrent autoimmune disorders, including autoimmune hepatitis (AIH), with Graves disease have been reported. Glucocorticoids can simultan...
OBJECTIVE: Many tumors can metastasize to the adrenal glands, making the diagnosis of adrenal masses challenging. Awareness that rare primary tumors c...
OBJECTIVE: Tyrosine-kinase inhibitors (TKIs) are chemotherapeutic agents associated with increased thyroid-hormone requirements and altered deiodinase...
OBJECTIVE: Hyponatremia associated with cerebrospinal fluid (CSF) drainage is primarily limited to pediatric patients. Only 1 case in an adult, after ...
OBJECTIVE: Nelson syndrome (NS) is a rare clinical disorder that can occur after total bilateral adrenalectomy (TBA), performed as a treatment for Cus...
OBJECTIVE: Our objective is to present a case of Cushing's disease (CD) with 2 adrenocorticotropic hormone (ACTH)-secreting pituitary tumors. Multiple...
INTRODUCTION: C-peptide is used as a marker of endogenous insulin secretion in the assessment of residual β-cell function in diabetes and in the diagn...
BACKGROUND: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HR+/HER2-negative metastatic br...
In this study, we proposed a systems biology approach to investigate the pathogenic mechanism for identifying significant biomarkers as drug targets a...
OBJECTIVE: To describe new and unusual endocrinopathies in children with de novo 18q deletion (18q-) syndrome.
In this paper, we present a segmentation and classification method for thyroid follicular neoplasms based on a combination of the prior-based level se...
OBJECTIVE: Gestational diabetes mellitus (GDM) is associated with adverse maternal and fetal outcomes. This study aimed to identify early and reliable...
OBJECTIVES: Prolactinoma is the most common cause of pituitary tumours. Current medical guidelines recommend dopamine agonists (cabergoline or bromocr...
BACKGROUND: From cell phones to aerospace, artificial intelligence (AI) has wide-reaching influence in the modern age. In this review, we discuss the ...
OBJECTIVE: The sensitivity of thyroglobulin (Tg) to detect differentiated thyroid cancer recurrence increases with the rise of the thyrotropin level. ...
OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human graders (HG) in a longitudinal cohort, as case spe...
BACKGROUND: The aim of a recent research project was the investigation of the mechanisms involved in the onset of type 2 diabetes in the absence of fa...
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is extremely harmful to the human body and may cause neurological dysfunction and endocrine dysfunct...