AI-Driven Prediction of Health Diseases: Applications, Challenges, and Future Prospects

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Shubhangi S. Ghule
Department of Computer Science, Dr. D. Y. Patil, Arts Commerce and Science College Pimpri, Pune, Maharashtra, India
Bharati A. Patil
Department of Computer Science, Dr. D. Y. Patil, Arts Commerce and Science College Pimpri, Pune, Maharashtra, India
Published: Oct 25, 2025

Abstract: Artificial Intelligence (AI) is revolutionizing healthcare by enabling the prediction of diseases through the analysis of medical data. Using machine learning algorithms, AI can detect patterns in patient history, genetic data, and lifestyle factors to predict conditions such as heart disease, diabetes, and cancer. These predictions help in early diagnosis, personalized treatments, and more efficient healthcare delivery. While challenges like data privacy and model transparency exist, AI holds significant potential to improve disease prevention, diagnosis, and patient outcomes.
AI-Driven Prediction of Health Diseases: Applications, Challenges, and Future Prospects. (2025). International Journal of Latest Technology in Engineering Management & Applied Science, 14(13), 143-147. https://doi.org/10.51583/IJLTEMAS.2025.1413SP031

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AI-Driven Prediction of Health Diseases: Applications, Challenges, and Future Prospects. (2025). International Journal of Latest Technology in Engineering Management & Applied Science, 14(13), 143-147. https://doi.org/10.51583/IJLTEMAS.2025.1413SP031