Biostatistics and Artificial Intelligence in Disease Prediction: A Comprehensive Review Supported by Simulated Data and Visual Analysis
Abstract
Scientists can now examine records in new ways and make disease predictions as AI technology advances rapidly. Nonetheless, predictive models in medicine must be firmly based in rigorous biostatistics to guarantee precision and minimize uncertainty. This study uses sample data, descriptive statistics, and visual aids to examine the enhancement of disease prediction by AI over time through biostatistics. This study also examines the primary ethical, methodological, and medical issues that arise from these methods. It says that to make sure your predictions are clear and correct, you need to look at data in both old and new ways.
Fields of Study & Subjects
Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare and Education
Machine Learning in Healthcare
Publication details
- Journal / source
- Journal of Health and Biology
- Volume
- 2
- Issue
- 1
- Pages
- 25–29
- Publication date
- 5 March 2026
- Language
- EN