Authors: Rohit Dhamale, Prathamesh Sonawane., Revati Ma’am, Archana Maam
Abstract: Artificial Intelligence (AI) has emerged as one of the most transformative technologies in modern healthcare. It has the potential to significantly improve the accuracy and efficiency of disease diagnosis and treatment. One of the most important applications of AI in healthcare is early disease detection. Early detection allows medical professionals to identify diseases in their initial stages, enabling timely treatment and improving patient survival rates. AI technologies such as machine learning, deep learning, natural language processing, and predictive analytics can analyze large volumes of medical data quickly and accurately. These systems can process electronic health records, laboratory reports, medical images, and patient history to identify patterns that indicate the early onset of diseases. AI-based systems assist doctors by providing data-driven insights and predictions that help in clinical decision-making. This research paper explores the role of artificial intelligence in early disease detection and its impact on modern healthcare systems. The study examines different AI technologies used in disease diagnosis, the methodology used to implement these systems, and the challenges associated with AI integration in healthcare environments. Furthermore, the paper discusses the benefits of AI-driven diagnostic systems in improving healthcare efficiency, reducing medical errors, and enhancing patient outcomes.
DOI: https://doi.org/10.5281/zenodo.20036666
