International Journal For Multidisciplinary Research

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

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 1
January-February 2026

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Smart Healthcare with AI

Author(s) Mr. AMIT MAURYA, Mr. ANKIT VISHWAKARMA, Ms. PALLAVI DIXIT
Country India
Abstract Diagnostic delays in resource-constrained healthcare networks remain a critical barrier to early neurological disease detection. This paper presents a Single-Stream Deep Learning Architecture that combines explainable AI with multi-modal medical image analysis for brain tumor detection. The system employs a Modified ResNet-50 with multi-modal MRI input (T1, T1c, T2, FLAIR) achieving 95.1% accuracy and 94.2% sensitivity, specifically optimized for identifying gliomas and meningiomas in limited-data environments. Critical innovation: integration of Grad-CAM heatmap generation enabling radiologist verification and trust calibration. Asynchronous processing via RabbitMQ + Celery handles ~100 medical images per minute with ~5 second response latency suitable for bandwidth-constrained tier-2 cities. Real-world validation on 500 anonymized patient records from Gorakhpur, Lucknow, and Ranchi demonstrates clinical-grade reliability with 94% radiologist agreement on AI-generated heatmaps. By addressing the explainability barrier in medical AI adoption, this work establishes a production-ready framework for trustworthy AI deployment in resource-limited telemedicine ecosystems.
Keywords Brain Tumor Detection; Medical Image Analysis; Explainable AI; Grad-CAM; Multi-Modal Learning; Telemedicine; ResNet-50; Asynchronous Processing; Resource-Constrained Healthcare
Field Engineering
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-01-04
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.65521
Short DOI https://doi.org/hbhsf5
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E-ISSN 2582-2160
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