International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Harnessing AI, IoT and Quantum Resonance Magnetic Analysis for Digital Diagnosis and Treatment

Author(s) Soyel Akter Habib, Md Maruf Billah, Marrimanu Hasif basha, Vipul Kumar
Country India
Abstract This research presents the development and implementation of a novel healthcare ecosystem leveraging Internet of Things (IoT), Artificial Intelligence (AI), Deep Learning and Quantum Magnetic Resonance Analysis (QMRA) technology. The aim is to streamline medical diagnostics and treatment processes by integrating a hardware device capable of conducting comprehensive body scans in minutes, coupled with an Android application for data collection and presentation. The hardware device utilizes Quantum Magnetic Resonance Analyzer for rapid and accurate body scanning, enabling users to record symptoms through voice clips and capture images of wounds or other concerns. The collected data is securely transmitted to a backend database hosted on Firebase for storage and retrieval. The Android app facilitates seamless access to patient profiles by registered doctors, empowering them to analyze scan reports, review recorded symptoms, and view images for informed diagnosis and treatment planning. By combining IoT, AI, and Quantum Magnetic Resonance Analysis, this healthcare ecosystem offers a transformative approach to medical care, improving efficiency, accessibility, and accuracy in diagnosis and treatment.
Keywords Healthcare Ecosystem, IoT, Artificial Intelligence, Deep Learning, Quantum Magnetic Resonance Analysis, Body Scanning, Android Application, Firebase, Medical Diagnosis, Treatment Planning.
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-19
Cite This Harnessing AI, IoT and Quantum Resonance Magnetic Analysis for Digital Diagnosis and Treatment - Soyel Akter Habib, Md Maruf Billah, Marrimanu Hasif basha, Vipul Kumar - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20667
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20667
Short DOI https://doi.org/gtvtwv
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