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@article{189066,
        author = {Shankar Murthy. K and Salma siddiqa and Shifa hani},
        title = {AN OVER VIEW ON USING OF ARTIFICIAL INTELLIGENCE IN ALLOPATHIC MEDICINE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {4720-4730},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189066},
        abstract = {Artificial Intelligence (AI) is emerging as a game-changing innovation in allopathic medicine, offering new possibilities for diagnosis, treatment, and patient care. By employing advanced computational approaches such as machine learning, deep learning, and natural language processing, AI systems can rapidly analyze vast amounts of clinical and biomedical data with higher accuracy than traditional methods. This capability enables early disease detection, personalized treatment planning, and predictive modeling of patient outcomes. AI is already making an impact through applications like automated medical imaging analysis, robotic-assisted surgeries, AI-powered chatbots for patient support, and clinical decision-support systems that guide physicians in complex cases. Furthermore, AI-enabled wearables and biosensors provide real-time monitoring of vital signs, facilitating preventive medicine and remote healthcare. The integration of AI also accelerates research in vaccine design, cancer detection, and digital pathology. Despite challenges related to data privacy, algorithmic bias, and ethical regulation, AI represents a powerful tool that is reshaping evidence-based allopathic medicine and advancing global healthcare delivery.},
        keywords = {Artificial Intelligence, Allopathic medicine, Drug discovery.},
        month = {December},
        }