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@article{199648,
        author = {BACHU VENKATA THANOOJ  KUMAR and DR.M.PADMA PRIYA and ARAVAPALLI HARI KRISHNA SAINADH and ADAPA VENKATA SATYA NAGA SURYA PRAKASH and ANNAMANENI RAHUL},
        title = {Automated Emergency Treatment With AI-Prioritized Management In Hospitals},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {13634-13640},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199648},
        abstract = {Artificial Intelligence (AI) and Biometric Authentication have played a major role in the last years in the efficiency and safety of healthcare systems. In this paper, the author suggests a smart healthcare management system integrating multi-biometric authentication with an emergency response mechanism based on ai. The system uses face, palm and voice recognition to facilitate secure user authentication and discourage unauthorized access to sensitive medical information. A smart emergency system is an emergency module that will analyze vital parameters of the patient, including oxygen saturation and heart rate, to determine how serious the situation is and automatically identify the closest hospital and ambulance with the help of location-based services. As shown by the experimental evidence, the proposed system enhances the accuracy of authentication and decreases the emergency response time in contrast with the traditional techniques. The system offers a secure, reliable and scalable solution to the current healthcare applications.},
        keywords = {biometric authentication, MRI scans, medical chatbot, food nutrition, appointments.},
        month = {April},
        }