The Artificial Intelligence (AI) has become a groundbreaking technology in healthcare, and particularly, in the domain of the early diagnoses of diseases. The applications of machine learning, deep learning, and data analytics ensure that AI systems can process large amounts of complicated medical data within the minimum amount of time possible, and with high accuracy. With the help of these technologies, the trends of diseases can be detected at the initial stage by means of various sources including medical imaging services, electronic health records, lab results, and data gathered by wearable sensors. In addition to aiding in the early disease detection, which, in turn, positively affects clinical decision-making and patient outcomes, AI reduces the cost of the provided care due to the timely interventions and preventive care. Irrespective of its potential, the use of AI to the early diagnosis of diseases is fraught with the problem of quality of the data, model interpretation, ethical concerns as well as regulatory considerations. The author of this paper will discuss the most valuable applications of AI in the early detection of diseases, recent advances, and justify restrictions and the future field of research to help successfully introduce AI-based diagnostic systems into clinical practice.
Choudhury¹ et al. (2026) studied this question.