Latest AI and machine learning research in endocrinology for healthcare professionals.
Breast arterial calcifications (BAC) are associated with increased cardiovascular risk and have been...
INTRODUCTION: Artificial intelligence (AI) chatbots are increasingly used in medicine, but their rel...
BACKGROUND: Albuminuria is a key diagnostic and prognostic biomarker of chronic kidney disease (CKD)...
Thyroid nodules are common incidental findings, but only a small proportion of cases are malignant (...
Thyroid nodules are common incidental findings but only a small proportion of cases are malignant (4...
BACKGROUND: Altered stress responses are closely linked to mental disorders, but the role of brain s...
BACKGROUND: Hybrid single-photon emission computed tomography (SPECT)/computed tomography (CT) is us...
Type 2 diabetes (T2DM) and periodontitis are bidirectionally linked diseases that both involve chron...
OBJECTIVES: Reliable, accessible, noninvasive self-assessment screening for prediabetes/diabetes is ...
The normal tension glaucoma (NTG) has limited drug options since current antiglaucoma medications ar...
Pulmonary sarcoidosis is a heterogeneous granulomatous disease with an unpredictable clinical course...
OBJECTIVE: ACTH-dependent Cushing's syndrome (CS) causes profound immune dysfunction and severe infe...
Follicular thyroid neoplasms represent a common subtype of thyroid tumor that has become the most pr...
To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of e...
The integration of artificial intelligence (AI) into surgical navigation represents a pivotal advanc...
RATIONALE AND OBJECTIVE: The status of cervical lymph node metastasis(LNM) in Papillary thyroid carc...
Endocrine therapy remains one of the primary treatment modalities for estrogen receptor (ER) positiv...
Type 2 diabetes mellitus (T2DM) requires multi-target therapeutic approaches addressing both insulin...