Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

Rationale and objectives Researchers have delved into noninvasive diagnostic methods of
renal fibrosis (RF) in chronic kidney disease, including ultrasound (US), magnetic resonance …

Brain tumors rank as the 1oth leading cause of mortality worldwide, accounting for 85% to
95% of all primary nervous system malignancies. The prevalence of this life-threatening …

Stress is commonly recognized as the body's normal reaction to external stimuli or an
environment that makes a person feel threatened or unsafe. It activates the body's self …

Chronic kidney disease (CKD) affects 850 million people worldwide and is associated with
significant cardiovascular morbidity and mortality. Routine laboratory tests do not reflect …

Objective: Interstitial fibrosis/tubular atrophy (IFTA) is a common, irreversible, and
progressive form of chronic kidney allograft injury, and it is considered a critical predictor of …

In recent years, immunotherapy has been postulated as one of the most effective strategies
in the fight against cancer. The greatest success in this field has been achieved with the …

Background This study investigated the efficacy of ChatGPT-3.5 and ChatGPT-4 in
assessing drug safety for patients with kidney diseases, comparing their performance to …

Introduction The Mayo imaging classification model (MICM) requires a prestep qualitative
assessment to determine whether a patient is in class 1 (typical) or class 2 (atypical), where …

This study explores the application of neural network models to improve the diagnosis and
treatment of chronic kidney disease (CKD), leveraging a comprehensive dataset of health …