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@article{191697,
        author = {Prince Jain and Sujal Fauzdar and Piyush Sharma},
        title = {MEDIGO AI: A SMART HEALTHCARE PLATFORM POWERED BY AI FOR DISEASE DETECTION AND TELEMEDICINE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {7730-7734},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191697},
        abstract = {The MEDIGO AI project is an advanced, AI-driven healthcare platform designed to enhance medical diagnostics and patient care. The primary objective was to develop a comprehensive dashboard for doctors and general users that integrates AI-powered disease detection from medical images, telemedicine features, and smart MedTech device integration.
The platform is built on a cloud-based microservices architecture, utilizing Next.js for the frontend dashboard, Flask for backend APIs, and MongoDB for data storage. AI capabilities are powered by TensorFlow, PyTorch, and Hugging Face models, including a Gemma-based chatbot fine-tuned with LoRA for medical queries. A central feature is the X-ray machine integration, which enables medical devices to securely upload medical images — such as chest and brain X-rays — to AWS S3. These images are automatically tagged with patient IDs, allowing doctors to search, retrieve, and submit them for AI-based analysis to detect diseases like pneumonia, tuberculosis, and brain tumors.
Rigorous testing confirmed the platform’s performance and reliability. MEDIGO AI achieved a 97% functional test pass rate, scaled efficiently to support 500 concurrent users, and delivered an average API response time of 1.8 seconds. The system is fully secure, compliant with HIPAA medical data standards, and maintained 99% uptime for WebRTC-based telemedicine calls.
MEDIGO AI provides a scalable and robust solution that reduces diagnostic workload on radiologists, expands access to remote healthcare, and empowers patients with reliable AI-driven medical insights.},
        keywords = {},
        month = {January},
        }