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@article{186884,
        author = {Dr. Prameela K S},
        title = {Artificial intelligence in healthcare: personalised diagnostics and treatment},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {4194-4197},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186884},
        abstract = {Artificial Intelligence (AI) is rapidly transforming the healthcare sector by enhancing diagnostic accuracy, improving patient care, and optimizing clinical workflows. Through advanced machine learning algorithms, natural language processing, and predictive analytics, AI enables early disease detection, personalized treatment planning, and efficient management of healthcare resources. Applications range from medical imaging analysis and virtual health assistants to drug discovery and remote patient monitoring. While AI promises greater efficiency and accessibility, it also raises ethical challenges regarding data privacy, algorithmic bias, and the need for regulatory frameworks. Integrating AI into healthcare requires a balance between technological innovation and human expertise to ensure patient safety, trust, and equity. This abstract highlight the potential, challenges, and future scope of AI in creating a more intelligent, data-driven healthcare ecosystem.},
        keywords = {diagnostic accuracy, accessibility, healthcare ecosystem.},
        month = {November},
        }