Umamaheswara Reddy Kudumula

Leading Health Insurance

Abstract: The healthcare sector in the United States faces numerous challenges, including evolving patient needs, regulatory pressures,administrative burdens, and a shortage of healthcare professionals, especially in underserved areas. This paper explores thetransformative potential of Artificial Intelligence (AI) to address these critical issues....

he rising prevalence of mental health issues, marked by a 28% increase in depression symptoms worldwide following COVID- 19, underscores the urgent need for innovation in behavioral and mental health services. In the United States alone, mental healthexpenditures have exceeded $300 billion, highlighting the economic strain on the healthcare system....

Abstract: Hospital Length of Stay (LOS) predictions offer a proactive approach for managing healthcare operations, allowing providers to allocate resources efficiently, reduce costs, and improve patient outcomes. With daily costs averaging $2,883 and extended stays placing financial strain on facilities, LOS prediction models can transform health...

Abstract: Diabetes is a prevalent chronic illness in the United States and worldwide, leading to significant health complications andeconomic burdens. Approximately 537 million adults globally are affected by diabetes, with numbers projected to rise dramatically. In theUnited States alone, around 37.3 million people live with diabetes, with annual...

Abstract: This article delves into the transformative potential of machine learning ML within the healthcare sector, addressingpersistent challenges like rising costs, discrepancies in care quality, and the urgency for accurate diagnoses. Through a detailedexploration, it demonstrates how ML enhances diagnostic precision, personalizes patient care,...

The article provides an extensive overview of cancers multifaceted challenges in global health, encompassing its impact onmortality, physical and psychological well - being, and the socioeconomic burden it imposes. It delves into the complexities of early - stagedetection, highlighting biological, technological, and systemic challenges. Furthermore...