IIT (ISM) Dhanbad Develops EchoPulse AI-VR Device For Heart Disease Diagnosis

The device, named EchoPulse, has been developed by ACS Rao from the Department of Computer Science and Engineering, according to a statement.

A professor at IIT (ISM) Dhanbad has developed an AI and VR-enabled diagnostic system designed to assist doctors in evaluating heart conditions more efficiently and accurately.

The device, named EchoPulse, has been developed by ACS Rao from the Department of Computer Science and Engineering, according to a statement. It uses artificial intelligence to analyse heart scan images and automatically identify patterns linked to cardiac function, reducing the need for extensive manual interpretation.

The system is designed to streamline diagnostic workflows by limiting dependence on large volumes of pre-labelled medical datasets, which are typically required for training conventional AI models. This approach is intended to make the technology more adaptable in varied clinical environments.

A key component of EchoPulse is its integration with virtual reality, which enables doctors and researchers to view heart activity in an interactive three-dimensional format. This visualization helps in better understanding structural and functional aspects of the heart during analysis.

Rao stated that the system is capable of directly processing heart scan data and identifying clinically relevant indicators related to cardiac health. The tool also incorporates “explainable AI”, allowing medical professionals to understand how the system arrives at its conclusions instead of treating it as a non-transparent model.

EchoPulse can estimate important clinical parameters, including the heart’s pumping efficiency, which is critical in assessing conditions such as heart failure and in supporting early-stage diagnosis and treatment planning.

According to the statement, the project has received a research grant of around INR 47 lakh from the Anusandhan National Research Foundation (ANRF), supporting its further development and testing.

The system is positioned as a clinical support tool aimed at improving diagnostic accessibility, particularly in healthcare settings with limited resources and imaging expertise.

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