CryptCare: AI-Powered Blockchain-Based HealthCare Diagnostic System
Vipranshu Singh
Department of Computer Science and Engineering, Galgotias University, Greater Noida, India
📌 DOI: https://doi.org/10.63920/tjths.52045
🔑 Keywords: ICryptCare, AI-Powered, Blockchain, HealthCare Diagnostic System
📅 Publication Date: 16 June 2026
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This work is licensed under a Creative Commons Attribution 4.0 International License
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Abstract:
The current paper is the introduction of CryptCare a safe and open-source health diagnosis framework, using deep learning and blockchain technology. The model is not based on the classical diagnosis but rather it uses neural networks, namely, ResNet variants, to process medical imaging data, namely, chest X-rays, to detect the presence of such diseases as pneumonia and bone fractures. Explainable AI approaches like LIME and Grad-CAM are applied to enhance trust and interpretability so that users and medical practitioners can interpret and understand model predictions. The safety and integrity of data, which is a characteristic of tamper-proof records, distributed control, and encrypted data processing, are guaranteed by a blockchain-based architecture. The system is compliant with the security-by-design, such as validation of input and access control, which are founded on the OWASP guidelines. The CryptCare has a layered structure, and it comprises of user interface, AI computation, and blockchain-based data registration. Front end Python, and Streamlit allow the creation of a model, and back end PyTorch and TensorFlow help to create a front end, and MongoDB is employed to store data. Experimental tests are characterized by a high level of diagnostic accuracy, high performance, and effective security of data against illegal changes.
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📖 How to Cite
Vipranshu S.(2026). CryptCare: AI-Powered Blockchain-Based HealthCare Diagnostic System. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52045
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