Publications by authors named "G Bedi"
Chronic kidney disease (CKD) is a growing health concern, particularly in older adults, due to its high prevalence and association with increased morbidity and mortality. Early detection and effective management are crucial to slowing disease progression and reducing complications such as cardiovascular events and end-stage renal disease (ESRD). Traditional biomarkers, including serum creatinine and estimated glomerular filtration rate (eGFR), often have limitations in older populations, where age-related physiological changes can obscure early signs of kidney dysfunction.
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- Breast vascularity is vital for understanding breast cancer development and treatment, as it provides insights into pathological and physiological changes in breast tissue.
- * Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a key tool for assessing breast vascularity, using contrast agents to visualize blood flow and differentiate between benign and malignant lesions.
- *DCE-MRI offers high diagnostic accuracy and is useful for monitoring treatment response, but challenges like cost and overlapping enhancement patterns need to be addressed, alongside future advancements in imaging technology.*
Article Synopsis
- * Early detection using imaging techniques like MRI is vital for diagnosing MESCC and planning treatment; innovations in imaging technology have improved early detection and management.
- * This review discusses the advancements in imaging methods for MESCC and their significance in enhancing diagnosis, treatment planning, and overall patient outcomes in this critical emergency.
Maternal health remains a critical global health challenge, with disparities in access to care and quality of services contributing to high maternal mortality and morbidity rates. Artificial intelligence (AI) has emerged as a promising tool for addressing these challenges by enhancing diagnostic accuracy, improving patient monitoring, and expanding access to care. This review explores the transformative role of AI in maternal healthcare, focusing on its applications in the early detection of pregnancy complications, personalized care, and remote monitoring through AI-driven technologies.
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