AI Medical Imaging Protocol Selection Automation
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Solution Overview
Problem
Conventional medical imaging protocols are selected manually by technicians or physicians, leading to errors and time-consuming processes, which can be detrimental in emergency situations, necessitating an automated system for optimizing medical imaging examinations.
Innovation Solution
An AI-based protocol selection method that identifies user physical and medical information to select appropriate protocols and parameters, processing input data with priority levels to adjust parameters within defined ranges, thereby automating the selection and minimization of errors and time in medical imaging procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual protocol selection is performed by technician or physician, then protocol can be customized to examination requirements, but selection time increases and error probability increases
Solution Approach 1:
The system enables self-service by automatically selecting protocols and parameters based on user physical information and medical information, eliminating the need for manual assessment and selection by technicians or physicians. The automated system performs the selection function independently, reducing both time and human error.
Solution Approach 2:
The manual mechanical process of protocol selection by human operators is replaced with an automated computer-based system that processes user information and medical data to select appropriate protocols, substituting human cognitive processes with algorithmic decision-making.
2Manufacturing precision
If multiple protocols are available for different clinical objectives, then examination accuracy can be optimized, but system complexity increases
Solution Approach 1:
The system implements a universal protocol selection mechanism that handles multiple clinical objectives and examination types through a single automated framework. This multi-functional system can process various user information types and select from multiple protocols using unified algorithms, reducing operational complexity despite the diversity of available protocols.
Solution Approach 2:
The system manages protocol complexity by dynamically adjusting parameters based on user-specific information and clinical requirements. Instead of manually configuring multiple complex protocols, the automated system modifies protocol parameters algorithmically to match specific examination needs, simplifying the user interface while maintaining examination quality.
3Reliability
If manual assessment and protocol selection is performed, then clinical judgment can be applied, but the process becomes time-consuming and harmful in emergency situations
Solution Approach 1:
The system performs preliminary actions by pre-processing user physical information and medical information to prepare protocol selections in advance. When an examination is requested, the system has already organized relevant data and can quickly retrieve and apply appropriate protocols, enabling rapid response in emergency situations while maintaining clinical accuracy.
Data Source
AI summary
The present invention describes an artificial intelligence (Al) based protocol selection method. The method recites identifying user physical information, selecting one or more medical examination protocols based on at least a part of the identified user physical information, identifying a plurality of protocol parameters for the medical examination, based on the selected one or more medical examination protocols, receiving input data, processing the received input data to change the at least one protocol parameter, and providing the plurality of protocol parameters based on the processed received input data to a medical imaging apparatus for performing the medical imaging examination of the user.