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@article{185210,
        author = {Riyaan Kazi and Tamanna Kazi and Prof.Mohini Mane and Dr.Tushar Shelke},
        title = {AI in Healthcare: Diagnosis and Drug Discovery},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {501-509},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185210},
        abstract = {— Artificial intelligence (AI) in healthcare has revolutionized conventional approaches and sparked important breakthroughs in patient care and medication development. This overview examines the various ways AI is affecting important fields, stressing both its revolutionary potential and related difficulties. AI in drug development speeds up the discovery process, improves the accuracy of safety and efficacy predictions, and streamlines clinical trial designs. The study of large datasets is made possible by AI-driven technologies like machine learning (ML) algorithms and deep learning models, which result in the discovery of new therapeutic targets and individualised treatment plans. AI improves patient outcomes and accessibility to healthcare services by increasing diagnostic accuracy, enabling predictive analytics for disease management, and supporting telemedicine and remote monitoring. The review critically looks at the implementation, ethical, and regulatory issues that come with integrating AI in healthcare, despite the encouraging developments. This study attempts to give an elaborate guide for future research and policymaking in smart healthcare by offering a thorough overview of AI's present and potential contributions.},
        keywords = {Artificial Intelligence, Machine Learning, Disease Identification, Healthcare, Diagnosis, Treatment, Medical Imaging, Drug Discovery, Challenges.},
        month = {October},
        }