Medical Imaging LLM Workflow for Faster Feature Selection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

The increasing complexity of medical imaging software for structural heart interventions leads to GUI overcrowding, reducing usability and operation efficiency, causing user distraction and delay, which can be critical in cardiac interventions.

Innovation Solution

A large language model (LLM) AI generates an executable program to automatically call multiple analysis functions in a medical imaging system based on user input, allowing intuitive interaction and risk management through confidence monitoring and user iteration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If more advanced features are added to the medical imaging software, then the functionality and analysis capability are improved, but the GUI becomes crowded and usability deteriorates

Engineering Contradiction:

ImprovefunctionalityVSAvoidusability

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent introduces a natural language processing intermediary that mediates between the user and the complex GUI. Instead of directly interacting with numerous buttons and panels, users speak their intent and the NLP system translates it into the appropriate sequence of feature activations, eliminating the need for users to navigate crowded interfaces while preserving access to all advanced features

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If more features are provided in the GUI, then the analysis capability is enhanced, but the search time and operation complexity increase

Engineering Contradiction:

Improveanalysis capabilityVSAvoidsearch time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent replaces the mechanical interaction system (clicking buttons, navigating menus) with a linguistic interaction system. Users describe their analysis needs in natural language, and the system automatically translates this into the appropriate feature sequence, eliminating manual search and navigation time while maintaining access to comprehensive analysis capabilities

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If more features are made available, then the functionality is expanded, but the operation stress and distraction to the user increase

Engineering Contradiction:

ImprovefunctionalityVSAvoidoperation stress

Core Design Contradiction:

Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The system performs self-service by automatically selecting and sequencing the appropriate features based on the user's spoken intent. The NLP system and backend automatically determine which features are relevant and in what order to activate them, freeing the user from the cognitive burden of managing multiple features and reducing operation stress while preserving full functionality

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250356992A1Generative Artificial Intelligence for Decision Making in Medical Imaging

Publication Date: 2025.11.20 SIEMENS MEDICAL SOLUTIONS USA INC

AI summary

For decision making in medical image processing, a large language model (LLM) artificial intelligence (AI) generates a program calling a series of available features to answer a user request. Rather than navigating through various functions in the GUI, the user may input a question, and the LLM AI then programs the medical imaging system to implement the functions to answer the question.