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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Responsible CVD screening with a blockchain assisted chatbot powered by explainable AI.

Salman Muneer¹, Sagheer Abbas², Asghar Ali Shah³

¹Department of Computer Science, University of Central Punjab, Lahore, Pakistan.

Scientific Reports

|April 4, 2025

Summary

Artificial Intelligence (AI) and blockchain technology (BCT) can improve cardiovascular care. Integrating explainable AI (XAI) with BCT enhances trust and accuracy in diagnosing cardiovascular disease.

Keywords:

Blockchain CVD screening Chatbot Explainable AI

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Area of Science:

Cardiovascular health
Medical informatics
Artificial Intelligence

Background:

Cardiovascular disease (CVD) presents a growing global healthcare challenge.
Traditional methods struggle to provide secure and trustworthy solutions for CVD management.
Emerging technologies like Artificial Intelligence (AI) and blockchain technology (BCT) offer potential for secure and responsible healthcare decision-making.

Purpose of the Study:

To propose an explainable AI (XAI) approach integrated with blockchain technology (BCT) for cardiovascular health.
To enhance interpretability and accountability in cardiovascular care for medical experts.
To improve trust in AI and BCT applications within the healthcare sector, particularly for cardiovascular diagnostics.

Main Methods:

Development of an explainable AI (XAI) model.
Integration of XAI with decentralized blockchain technology (BCT) for secure data handling.
Evaluation of the proposed approach against existing methods for cardiovascular prediction.

Main Results:

The proposed XAI and BCT approach achieved the highest accuracy of 97.12%.
Demonstrated superior performance compared to previous methods in cardiovascular prediction.
The system enhances interpretability and responsibility in clinical decision-making processes.

Conclusions:

The integrated XAI and BCT approach offers a promising solution for complex cardiovascular health challenges.
This method improves trust and transparency in healthcare, especially in diagnostic applications.
The high accuracy signifies the potential of this approach for accessible and reliable cardiovascular care.