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@article{185307,
        author = {MAGAR GANESH RAMDAS and Prof.Shahuraj Yevate},
        title = {Ai in healthcare},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1559-1567},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185307},
        abstract = {Artificial Intelligence (AI) has rapidly emerged as one of the most disruptive technologies in modern healthcare. It leverages computational power, big data, and advanced algorithms to perform tasks traditionally requiring human intelligence, such as diagnosis, decision-making, and patient monitoring. AI is transforming multiple aspects of healthcare, including medical imaging, drug discovery, hospital management, precision medicine, and telemedicine. This research aims to study the applications, benefits, challenges, and future scope of AI in healthcare. The research is conducted through an extensive review of literature, secondary data analysis, and exploration of proposed AI-driven healthcare models. The results indicate that AI improves diagnostic accuracy, reduces costs, enhances accessibility, and enables personalized treatment, though ethical concerns, data privacy issues, and regulatory uncertainties remain significant barriers.
Moreover, AI in healthcare is not intended to replace medical professionals but to Augment their capabilities by providing decision support, reducing administrative burdens, and enabling more patient-centered care. The integration of AI technologies requires careful consideration of ethical principles, interdisciplinary collaboration, and policy frameworks to ensure responsible implementation. As the healthcare sector continues to evolve, AI stands as a catalyst for innovation, promising to bridge the gap between limited medical resources and growing patient needs while paving the way for a smarter, more efficient, and equitable healthcare ecosystem.},
        keywords = {},
        month = {November},
        }