Accident detection and public traffic safety is a crucial aspect of safe and better community.
Monitoring traffic flow in smart cities using different surveillance cameras plays a crucial role …

Recurrent neural networks (RNNs) have significantly advanced the field of machine learning
(ML) by enabling the effective processing of sequential data. This paper provides a …

Recent years have witnessed a significant convergence of artificial intelligence (AI) within
the healthcare sector. This chapter explores the transformative potential and challenges …

India has evaluated 77 million people with diabetes, which makes it the second most
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …

This study investigates how enormous information examination can reform the medical care
industry, with a specific accentuation on how it can transform a lot of medical care …

Pregnancy termination remains a complex and sensitive issue with approximately 45% of
abortions worldwide being unsafe, and 97% of abortions occurring in developing countries …

This integrative literature review (ILR) looks into the use of artificial intelligence (AI)
technology in the French healthcare system, emphasizing personalized medicine and …

Objective This study aimed to investigate the predictive capabilities of historical patient
records to predict patient adverse outcomes such as mortality, readmission, and prolonged …

The aging population requires cutting-edge approaches to geriatric care, with digital health
technologies playing a crucial part in meeting the challenging demands of healthcare …

This study addresses the critical issue of anemia detection using machine learning (ML)
techniques. Although a widespread blood disorder with significant health implications …