Artificial Intelligence (AI) in Diagnostics and Allied Health Sciences: Current Trends and Future Perspectives

Abstract

Artificial Intelligence (AI) is rapidly changing the field of diagnosis and allied health sciences. This technology helps in detecting diseases, analyzing medical data, and improving the accuracy and efficiency of clinical decision-making. The aim of this review is to study recent research, current applications, and future possibilities of AI in allied health sciences. Technologies like machine learning, deep learning, and image recognition are now widely used in radiology, pathology, and laboratory diagnosis, leading to more reliable and accurate reports. However, issues such as data privacy, ethical concerns, and lack of trained professionals remain major challenges. If AI is used safely and ethically, it can greatly improve and advance the future of diagnostic and allied health sciences.