International Journal of Science, Engineering and TechnologyAuthors: Abhishek Kumar
Abstract: Artificial Intelligence (AI) is revolutionizing healthcare by enabling the early detection and diagnosis of diseases with remarkable accuracy. Early-stage disease prediction plays a crucial role in improving patient outcomes, reducing treatment costs, and enhancing the efficiency of healthcare systems. Objective & Methodology: This research paper explores the application of AI in predicting diseases at early stages using various machine learning and deep learning algorithms. By analyzing patient data such as medical records, lab results, and imaging scans, AI models can identify subtle patterns and provide predictive insights long before symptoms become critical. Analysis & Findings: The paper also presents a comprehensive review of existing AI-based approaches, key challenges, ethical considerations, and future trends in this domain. Case studies involving diabetes, cardiovascular diseases, and cancer are discussed to illustrate the practical effectiveness of AI models. Scope for future Research: The study concludes that while AI shows significant promise in early disease prediction, issues related to data privacy, model transparency, and clinical integration need careful attention.
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