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@article{202474,
        author = {Prof. Bhagat P. V. and Thopate Shreya Anil and Thopate Shruti Maruti and Shinde Gauri Sunil and Dr. Shah Saloni Niranjan},
        title = {Lifeline : Emergency AI Doctor Assistant with Ambulance Connectivity},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {7416-7421},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202474},
        abstract = {In emergency medical situations, timely diagnosis and rapid coordination with healthcare professionals can be the difference between life and death. However, due to the lack of immediate medical assistance, communication delays, and limited accessibility to doctors or ambulances, patients often experience critical time loss.
To address this issue, LIFELINE – AI Based Emergency Doctor Assistant with Ambulance Connectivity proposes an intelligent and integrated emergency response system that leverages Artificial Intelligence (AI). The system uses AI-driven symptom analysis to assess the patient’s condi-tion and provide instant preliminary medical guidance.
It can suggest first-aid measures and automatically alert nearby doctors and ambulances based on the detected severity level. Through integrated GPS-based tracking and real-time communication modules, LIFELINE ensures that ambulances are efficiently dispatched to the patient’s lo-cation while transmitting the patient’s vital data to the hospital beforehand.},
        keywords = {},
        month = {May},
        }