PAPVR System Prioritizes Medical Images
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Solution Overview
Problem
Current medical imaging systems struggle to efficiently analyze and prioritize large volumes of medical images from CT scans and MRIs, leading to resource constraints and delays in patient care, as they lack the capability to accurately and efficiently identify critical medical conditions and generate timely, accurate reports.
Innovation Solution
A computer-implemented method and system, known as the Picture Analysis Prioritization Visualization and Reporting (PAPVR) system, which retrieves medical images, determines their medical interest, identifies representative images, and provides them for review by a physician, along with automated analysis and reporting capabilities, including quantitative measurements and prioritization of patient cases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of all medical images is performed by radiologists, then diagnostic accuracy is maintained, but time consumption and resource requirements increase significantly
Solution Approach 1:
The patent introduces an automated analysis system as an intermediary between image acquisition and radiologist review. This system performs preliminary analysis, prioritization, and generation of key images, acting as a mediator that filters and prepares data before human review, thereby reducing time consumption while maintaining diagnostic accuracy through radiologist verification of automated findings.
Solution Approach 2:
The system performs preliminary actions by automatically analyzing images, identifying potential abnormalities, and prioritizing cases before radiologist review. This preliminary processing includes generating key images that highlight areas of concern, allowing radiologists to focus their expertise on the most critical cases rather than reviewing all images from scratch.
2Productivity
If automated analysis is implemented to reduce review time, then efficiency improves, but system complexity increases
Solution Approach 1:
The automated analysis system is designed to perform multiple functions within a single integrated platform: image prioritization, key image selection, automated measurement, and report generation. This multi-functionality reduces the need for separate systems and tools, managing complexity while improving productivity through consolidated automated workflows.
3Loss of information
If all medical images are stored and reviewed in detail, then comprehensive diagnostic information is available, but data management burden increases
Solution Approach 1:
The system extracts and prioritizes only the most diagnostically relevant information from large volumes of medical images. It identifies and extracts key images that contain critical findings, separating essential diagnostic data from redundant information. This extraction approach maintains diagnostic information completeness while reducing data management complexity by focusing on what matters most.
Data Source
AI summary
Methods and systems for retrieving and processing medical diagnostic images are provided, comprising using picture analysis prioritization visualization and reporting system (“PAPVR system”) to determine whether each of one or more images from an image database or imaging device is of medical interest to a reviewing physician, determine whether one or more of the images is representative of the images, and provide the one or more images to a display and analysis system for review by a reviewing physician. The PAPVR system can provide the one or more images with a Key Image that is representative of the images. In addition, the PAPVR system can detect whether a patient suffers from a particular ailment, and provide a reviewing physician quantitative information that is relevant to the patient's condition.