Automated Multimedia Radiological Report Generation
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Solution Overview
Problem
The generation of multimedia radiological reports is labor-intensive and requires manual intervention, making it inefficient for conveying medical information to patients and healthcare professionals, as conventional methods rely on manual selection and creation of images and speech output from written reports.
Innovation Solution
A computer-implemented method using a large language model to automatically create a multimedia radiological report by generating a script, selecting relevant data, and combining visual and audio elements, allowing for the creation of a fully automated report without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to generate multimedia radiological reports with 3D technicians and radiologists, then the quality and accuracy of the report can be maintained, but the time consumption and workload increase significantly
Solution Approach 1:
The system enables automatic generation of multimedia radiological reports by having the computer system perform tasks that previously required manual intervention by radiologists and 3D technicians. The automated workflow extracts data from written reports, generates corresponding visualizations, and assembles the final multimedia report without human assistance, thereby maintaining quality while dramatically reducing time consumption.
Solution Approach 2:
The system performs preliminary processing of written medical reports by automatically extracting relevant information, identifying key findings, and preparing data structures before the actual multimedia report generation. This preliminary action includes parsing the written report to identify anatomical regions, pathological findings, and measurement data that will be needed for subsequent automated visualization and report assembly.
2Ease of operation
If manual selection and creation of images and speech output is performed, then the comprehensibility for patients can be improved, but the labor intensity increases
Solution Approach 1:
The system replaces the mechanical manual process of selecting images and creating speech output with automated computational processes. The computer system automatically generates 3D visualizations from medical imaging data and synthesizes speech output from extracted text, eliminating the need for manual intervention while maintaining comprehensibility for patients through consistent application of visualization and text-to-speech algorithms.
3Productivity
If automated generation of multimedia reports is implemented, then productivity increases, but the complexity of the system increases
Solution Approach 1:
The automated report generation system is divided into distinct functional modules: a text processing module that parses written reports, a data extraction module that identifies relevant findings, a visualization module that generates 3D images, and an assembly module that combines all elements into the final multimedia report. This segmentation allows each module to be independently optimized and maintained, managing system complexity while achieving high productivity.
Data Source
AI summary
One or more example embodiments relates to a method and a system for automatic creation of a multimedia radiological report on a patient, having: a medical information database which has written medical reports on patients; and a data processing unit which is configured: to create a multimedia report script based on the provided written medical report making use of a large language model; to provide selected data to which the written medical report on the patient and/or the created multimedia report script relate; to create a visual medical report on the patient based on the provided data and the created multimedia report script; and which is configured to combine automatically the created visual medical report and audio data for creating the multimedia radiological report on the patient.