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March 19, 2025· 2025 International Conference on Intelligent Computing and Control Systems (ICICCS)
conference-paper

Comprehensive AI-Powered Healthcare Management System

Authors:B Madhusudhana RaoG. V. R. Sai MadhukarBankula Nithin ReddySriyan Kumar VoniNishant Kumar

Abstract

This is the Comprehensive AI-Powered Healthcare Management System intended to revolutionize healthcare delivery, overcoming the shortcomings of present systems by integrating multiple sources of information to predict disease onset and administering personalized care, all based on advanced technologies such as Artificial Intelligence and Machine Learning integrated into Blockchain. The system will have early disease detection and tailor-made treatment plans and holistic patient care. The key algorithms include Random Forest, Support Vector Machine, and Neural Networks. It will deploy Convolutional Neural Networks for the analysis of medical images and Natural Language Processing techniques through the application of transformer models such as BERT. Key Technologies to be used are PyTorch, TensorFlow, DialogFlow, and Ethereum. This project shall be developed in phases starting from collecting and integrating diverse health data. Expected output is a fully functional healthcare management platform for the enhancement of patient outcomes, facilitation of greater efficiency by health providers, and secure health data management. These diverse applications have functionalities in improving diagnostic accuracy and patient management in clinics, remote monitoring of patients with chronic diseases, prediction of mental health crisis incidents, and safe storage of patient data through blockchain integration.

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