AI-Guided Mammography Imaging for Additional View Selection
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Solution Overview
Problem
Current medical imaging techniques require significant human interaction between technologists and radiologists, leading to inefficiencies and patient wait times, especially when additional images are needed for accurate diagnosis.
Innovation Solution
Medical imaging devices are equipped with breast imaging processing circuitry that autonomously determines the need for and type of additional images, such as contrast-enhanced mammography, using AI models to analyze patient data and generate protocols for image capture, reducing the need for real-time human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If technologists and radiologists continuously interact to determine need for additional images, then diagnostic accuracy is improved, but patient wait time and operational inefficiency increase
Solution Approach 1:
The system performs preliminary analysis of initial mammographic images using AI models before complete diagnostic workflow finishes. The processing circuitry analyzes initial images, determines need for additional images, and generates protocols in advance, allowing technologists to prepare and reducing patient wait time while maintaining diagnostic accuracy
Solution Approach 2:
The mammography system performs self-analysis through integrated AI processing circuitry that automatically evaluates images, determines diagnostic adequacy, and generates protocols for additional imaging without requiring continuous radiologist intervention. This automation maintains diagnostic reliability while reducing operational delays
2Reliability
If multiple mammographic images are captured to ensure accurate diagnosis, then diagnostic reliability is improved, but image capture time and patient discomfort increase
Solution Approach 1:
The processing circuitry performs preliminary evaluation of initial mammographic images using trained AI models to determine whether additional images are diagnostically necessary. This preliminary analysis prevents unnecessary additional imaging, reducing patient discomfort and capture time while maintaining diagnostic reliability by only ordering additional images when clinically indicated
Solution Approach 2:
The system dynamically adjusts the imaging protocol based on AI analysis results, patient-specific factors, and diagnostic needs. The processing circuitry modifies image capture parameters and determines the minimum necessary number of additional images required for accurate diagnosis, optimizing the balance between diagnostic reliability and minimizing patient exposure time
3Measurement precision
If radiologists review images in real-time to guide imaging protocol, then image selection accuracy is improved, but operational efficiency and productivity decrease
Solution Approach 1:
The system employs self-service AI processing circuitry that automatically reviews images, evaluates diagnostic adequacy, and determines protocols for additional imaging without requiring real-time radiologist intervention. The AI models provide image selection accuracy comparable to radiologist review while significantly improving operational efficiency and reducing bottlenecks in the imaging workflow
Solution Approach 2:
The processing circuitry performs preliminary image review and protocol determination using AI models before radiologist review is needed. This preliminary action filters and pre-evaluates images, allowing radiologists to focus on complex cases and improving overall operational efficiency while maintaining image selection accuracy through layered review processes
Data Source
AI summary
Systems, apparatus, articles of manufacture, and methods are disclosed that to configure a first medical imaging device, capture a first mammographic image of a patient using the first medical imaging device, analyze the first medical image, determine, in response to an analysis of the first medical image, to capture a second medical image, configure at least one of the first medical imaging device or a second medical imaging device for the second medical image different from the first medical image, capture the second medical image, and transmit the first medical image and the second medical image to an external device for processing and generating a next action with respect to the patient.