Transforming Healthcare Through Intelligent Machine Learning: From Diagnosis to Precision Care

DOI: https://doie.org/10.10399/JBSE.2025627454

Md Jahid Alam Riad

Keywords:

Artificial Intelligence, Machine Learning, Diagnostics, Precision Medicine, Healthcare Integration.

Abstract:

The healthcare sector is undergoing a profound transformation, driven by the integration of machine learning (ML) and artificial intelligence (AI). These technologies have already shown immense potential in enhancing clinical diagnostics, improving personalized treatment, and optimizing healthcare delivery. This paper explores how AI and ML are being applied across various domains, from medical imaging and genomics to precision care and drug development. Machine learning models, including deep learning and natural language processing, allow for more accurate disease detection, risk prediction, and tailored therapies. Despite their promise, challenges such as data privacy, algorithmic biases, and integration with existing healthcare systems must be addressed. As AI continues to evolve, its role in early disease detection, global healthcare accessibility, and clinical decision support presents exciting future opportunities for improving patient outcomes and reducing healthcare disparities.

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