AI-Generated Alignment Plans for Imaging Sensor Positioning
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Solution Overview
Problem
Users often struggle to properly align themselves with imaging sensors during treatment sessions, especially in remote settings, due to factors like pain, limited mobility, and lack of medical knowledge, which can hinder the effectiveness of treatment plans.
Innovation Solution
An artificial intelligence engine generates alignment plans using machine learning models to adjust the user's position relative to the imaging sensor, ensuring the targeted body part is within the sensor's field of view, by analyzing user data and characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user performs self-positioning during a treatment session, then the user can independently conduct the treatment, but the alignment accuracy deteriorates due to pain, limited mobility, and lack of medical knowledge
Solution Approach 1:
The system introduces an intermediary alignment plan generated by AI that mediates between the user's self-positioning capability and the required alignment accuracy. The alignment plan serves as a guide that translates complex positioning requirements into simple, executable instructions for the user, resolving the contradiction between independent operation and precision alignment
Solution Approach 2:
The system performs preliminary action by generating alignment plans before the treatment session begins. The AI engine pre-calculates the optimal body positions and provides step-by-step instructions, allowing the user to align correctly without requiring real-time expert guidance or deep medical knowledge during the actual treatment
2Measurement precision
If healthcare professionals provide direct assistance for positioning, then the alignment accuracy improves, but the treatment cannot be performed remotely
Solution Approach 1:
The system enables self-service by having the AI engine automatically generate alignment plans without requiring direct healthcare professional intervention during the treatment session. The user follows the automated instructions, allowing remote treatment to maintain alignment accuracy equivalent to in-person guidance
Solution Approach 2:
The AI-generated alignment plan acts as an intermediary that replaces the need for direct healthcare professional presence. It transfers the positioning expertise from the professional to the user through structured instructions, enabling remote treatment while maintaining alignment precision
3Productivity
If the targeted body part is outside the imaging sensor's field of view, then the treatment can proceed without adjustment, but data gathering quality deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring whether the targeted body part is within the imaging sensor's field of view during the treatment session. When misalignment is detected, the system provides feedback through the alignment plan to guide the user in adjusting their position, ensuring high-quality data gathering without interrupting the overall treatment flow
Data Source
AI summary
Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor. The method comprises generating one or more machine learning models trained to identify alignment plans. The method also comprises receiving user data and determining that a targeted portion of a body of the user is outside of a field of view of the imaging sensor. The method further comprises generating the one or more alignment plans using the one or more machine learning models. Each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from a first location to the target location. The method also comprises transmitting the one or more alignment plans to a computing device.