Medical Imaging Misuse Detection via Image-Log Comparison
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Solution Overview
Problem
Current medical imaging systems lack effective security measures to prevent misuse for gender detection, particularly in countries where such practices are prohibited, due to the lack of sufficient data and scalable solutions to enforce laws, and existing solutions are prone to tampering.
Innovation Solution
A device and method that acquire and analyze medical image data and audit log data to detect mismatches, using a processing unit with a feature-based algorithm and deep learning neural network to identify fetal images, generating a misuse alert signal for unauthorized use, and encrypting data to prevent tampering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video- and GPS-based solutions are used to record and stream scan procedures and locations, then audit capabilities are improved, but the solutions are subject to tampering and require manual intervention which reduces reliability and scalability
Solution Approach 1:
The system automatically compares audit log data with medical image data without requiring manual intervention. The processing unit autonomously detects mismatches and generates misuse alert signals, making the system self-sufficient and eliminating the need for manual auditing while improving reliability and scalability
Solution Approach 2:
The system implements a feedback mechanism where the processing unit continuously monitors and compares audit log data with actual medical image data, automatically generating misuse alert signals when discrepancies are detected. This closed-loop feedback system enhances reliability by providing real-time detection without manual intervention
2Reliability
If elaborate records are maintained for all prenatal screening to prove non-use for fetal sex determination, then legal compliance is improved, but the complexity and cost of ownership increase
Solution Approach 1:
The system extracts and compares only the essential data elements between audit log data and medical image data to detect mismatches. By focusing on critical compliance indicators rather than maintaining elaborate comprehensive records, the system achieves legal compliance while reducing record-keeping complexity and ownership costs
Solution Approach 2:
The patent replaces manual record-keeping and auditing mechanisms with an automated digital system that uses processing units to compare data and generate compliance reports. This substitution of mechanical/manual processes with automated electronic systems reduces complexity while maintaining or improving compliance reliability
3Productivity
If trained personnel conduct sex determination tests in short time, then productivity is improved, but sufficient security measures and data to enforce the law are not available
Solution Approach 1:
The system performs preliminary actions by automatically comparing audit log data with medical image data in real-time during the scanning process. This preliminary detection mechanism is in place before misuse can occur, enabling immediate identification of unauthorized sex determination attempts while allowing legitimate scans to proceed at full speed
Solution Approach 2:
The system introduces an intermediary automated monitoring layer between the ultrasound system and the end user. This intermediary processing unit objectively compares data and generates misuse alerts, providing reliable law enforcement capability without interfering with the productivity of trained personnel conducting legitimate scans
Data Source
AI summary
The present invention relates to a device (10) for detecting a misuse of a medical imaging system (20), comprising a data interface (12) for acquiring medical image data (24) and audit log data (26) from the medical imaging system (20); a processing unit (14) which is configured to configured to analyse the medical image data (24) to determine whether or not a part of a fetus is imaged in the medical image data (24), to compare the medical image data (24) and the audit log data (26) with each other, and to determine based on said comparison whether there is a mismatch between the medical image data (24) and the audit log data (26); and a feedback unit (16) which is configured to generate a misuse alert signal if a mismatch is detected by the processing unit (14).