The Role of Artificial Intelligence in Early Disease Detection: Current Applications and Future Prospects

Abstract

Artificial intelligence (AI) has evolved as an innovative technology in the field of health care and the diagnosis of diseases at an early stage. AI systems employ large data sets, including medical images, patient history, and continuous real-time tracking, to diagnose diseases at early stages and thus learn how to act and bring about a healthier change. This paper focuses on the current uses of AI in early disease detection, its efficiency, and its drawbacks. The paper also attempts to conceptualize the future application of AI technologies for enhancing diagnostic precision, customizing treatment regimens, and providing economical solutions to healthcare organizations globally. Yet, there are certain drawbacks, such as data privacy, the issue of algorithm bias, and the problem of regulative efficiency in health care with the help of AI. The further advancement and evolution of AI applications in disease diagnosis are in machine learning and deep learning technologies, including establishing guidelines as prerequisites for making diagnostic AI services safe and effective in healthcare.