Development of an AI-Powered Medical Image Digitization and Data Exchange System for Cardiology

Young cardiology professionals often encounter complex and controversial cases, lacking easy access to expert opinions and resources. Reliance on basic communication tools like messaging and smartphone images results in poor visualization of ECG data, risking inaccurate diagnoses and suboptimal patient care. The absence of standardized, high-fidelity digital data transfer impedes professional collaboration and limits continuous medical education.

A healthcare organization or medical software provider specializing in cardiology diagnostics, aiming to improve diagnostic accuracy and collaboration among cardiologists through advanced digital solutions.

• Develop a robust system for automatic digitization of scanned ECG images to preserve all diagnostic information.
• Create a standardized data format compatible with independent medical software for seamless data sharing.
• Facilitate remote expert consultation, improving diagnostic accuracy and treatment plans.
• Support professional development through high-quality data exchange and analysis capabilities.
• Enhance healthcare interoperability by enabling consistent, lossless transfer of ECG data across institutions.

• Automated detection of ECG grid and horizontal channels within scanned images.
• Separation of ECG signal from visual noise and artifacts.
• Conversion of graphical ECG data into a standardized digital format (e.g., EDF).
• Support for processing single-window ECG images containing one channel with clear grid and waveform visibility.
• Integration with existing medical data storage and analysis software for seamless workflow.
• User interface for manual adjustments and verification of digitized data where necessary.

• Medical data management systems for storing and retrieving ECG data
• Remote communication platforms for teleconsultation
• Existing hospital or clinical information systems (EHR integration)

• High accuracy in ECG waveform detection and digitization, aiming for minimal data loss.
• System performance capable of processing each ECG image within a defined time frame (e.g., under 2 seconds).
• Data security and compliance with healthcare data protection standards (e.g., HIPAA).
• Scalability to handle increasing volumes of ECG data across multiple clinics.

The implementation of the system is expected to streamline ECG data exchange workflows, improve diagnostic precision, and foster collaboration among cardiologists. It will facilitate remote consultations, support professional development, and enhance overall healthcare quality. Projected outcomes include increased data sharing efficiency, preserved diagnostic integrity during transfer, and potential reductions in diagnostic errors, ultimately elevating patient care standards.