Medical Report Image Generation for Clear Finding Visualization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Medical text reports, such as radiology reports, often struggle to balance comprehensiveness with succinct communication, leading to misdiagnosis due to verbose narratives that obscure key findings, and are challenging for both medical professionals and non-medical individuals to understand.
Innovation Solution
A method and apparatus that analyze medical text reports using computer-implemented algorithms to identify relevant medical findings, generate structured data, and overlay images representing these findings onto image templates, such as patient anatomy pictograms, to create clear and efficient visual representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If radiologists use comprehensive narrative text to communicate all findings, then completeness of information is improved, but readability and ease of understanding deteriorate
Solution Approach 1:
The patent segments the comprehensive narrative text into structured components including key findings, secondary findings, and detailed descriptions. By dividing the report into hierarchical sections with clear visual markers, the system maintains complete information while improving readability through organized presentation.
Solution Approach 2:
The patent transforms the one-dimensional narrative text into a multi-dimensional structured format incorporating visual elements such as icons, color coding, and hierarchical layout. This dimensional transformation allows simultaneous presentation of comprehensive information and enhanced readability by adding visual organization layers.
2Ease of operation
If radiologists use structured reports with predefined formats, then readability is improved, but extraction of relevant information becomes more difficult
Solution Approach 1:
The patent employs color coding to differentiate between various types of findings and their clinical significance. Different colors highlight positive findings, negative findings, and secondary findings, making key information immediately distinguishable while maintaining the structured format's readability benefits.
Solution Approach 2:
The patent applies different visual qualities and formatting styles to different sections of the report based on their importance. Key findings receive prominent visual treatment with icons and bold formatting, while secondary findings use subdued styling, allowing rapid extraction of critical information while preserving overall structure.
3Loss of information
If comprehensive narrative text is used to ensure all findings are communicated, then information completeness is improved, but key findings may be hidden or difficult to appreciate
Solution Approach 1:
The patent uses color coding to visually distinguish key findings from other text, with specific colors indicating positive findings, negative findings, and their clinical significance. This visual differentiation ensures key findings stand out prominently while the complete narrative text remains available for reference.
Solution Approach 2:
The patent creates asymmetric visual hierarchy where key findings are presented with enhanced visual weight through icons, bold formatting, and prominent positioning, while secondary information uses lighter formatting. This asymmetric presentation ensures key findings are immediately apparent without losing comprehensive information.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method of generating a first image from a medical text report comprises acquiring a medical text report comprising one or more natural language statements; analysing the medical text report, using a computer-implemented analysis process, to determine for each natural language statement whether the statement satisfies a predetermined criterion with respect to a first medical finding; and responsive to a determination that a said statement satisfies the predetermined criterion, adding an image representing the first medical finding to an image template, to generate the first image. Also disclosed is an apparatus and computer program.