AI-Powered Healthcare Diagnostics Innovations in Personalized Medicine

Authors

  • Venkateswara rao batta

Keywords:

AI in Healthcare, Personalized Medicine, Healthcare Diagnostics, Predictive Analytics, Machine Learning.

Abstract

Advances in AI are transforming healthcare diagnostics, enabling early detection and personalized treatmentplans. This paper explores AI-powered solutions for healthcare applications, focusing on the integration ofmachine learning models into diagnostic workflows. The framework combines predictive analytics, image-baseddiagnostics, and patient-specific data to improve accuracy and efficiency. Case studies on chronic disease detectionand treatment optimization demonstrate enhanced diagnostic capabilities and improved patient outcomes. Theresearch highlights the potential for AI to revolutionize healthcare, particularly in personalized medicine.

References

Esteva, A., Kuprel, B., Novoa, R. A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118.

Gulshan, V., Peng, L., Coram, M., et al. (2016). Development and validation of a deep learning algorithm for

detection of diabetic retinopathy in retinal fundus photographs. JAMA, 316(22), 2402-2410.

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Published

2025-04-15

How to Cite

Venkateswara rao batta. (2025). AI-Powered Healthcare Diagnostics Innovations in Personalized Medicine . Journal of Computational Analysis and Applications (JoCAAA), 34(4), 1166–1174. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3087

Issue

Vol. 34 No. 4 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.