Gum Disease Examination System Using Historical Data
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Solution Overview
Problem
Current gum disease examination methods, such as Full-Mouth Periodontal Examination, are time-consuming and painful, often leading to underdiagnosis of mild and moderate periodontitis, as they require extensive probing by dental practitioners, which can be uncomfortable and inefficient.
Innovation Solution
A system utilizing historical examination data and a processor to dynamically determine the most effective sequence of oral areas to examine, providing real-time guidance for diagnosis, minimizing the number of required measurements and reducing examination time by using probabilistic algorithms and patient metadata to identify likely affected areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a Full-Mouth Periodontal Examination is performed to accurately assess gum disease, then diagnosis accuracy is improved, but examination time and patient discomfort increase
Solution Approach 1:
The system performs preliminary analysis by examining historical examination data and patient metadata before the actual examination to pre-determine the most likely affected oral areas. This allows the practitioner to focus the physical examination only on high-probability sites, reducing overall examination time while maintaining diagnostic accuracy.
Solution Approach 2:
The full mouth examination is segmented into high-probability oral areas identified through historical data analysis and random areas. By prioritizing segments (oral areas) that are most likely to show gum disease based on patient history and demographics, the system reduces the number of sites that need physical probing while maintaining diagnostic reliability.
2Reliability
If a Full-Mouth Periodontal Examination is performed to ensure comprehensive assessment, then diagnosis reliability is improved, but patient discomfort increases
Solution Approach 1:
The system performs preliminary identification of at-risk oral areas by analyzing historical examination data and patient metadata before initiating the physical examination. This allows the practitioner to minimize the number of probing sites by focusing only on areas with high probability of gum disease, thereby reducing patient discomfort while maintaining diagnostic reliability.
Solution Approach 2:
Instead of uniformly examining all oral areas, the system applies local quality by identifying and prioritizing specific oral areas that are most likely to be affected based on patient-specific factors such as historical data, demographics, and risk factors. This targeted approach reduces unnecessary probing in healthy areas, minimizing patient discomfort while maintaining reliable diagnosis in affected areas.
3Productivity
If historical examination data is analyzed to personalize the examination sequence, then examination efficiency is improved, but system complexity increases
Solution Approach 1:
The system uses historical examination data from previous patients as a template or copy to determine the examination sequence for the current patient. By analyzing patterns from historical data, the system generates a personalized examination plan that mirrors successful diagnostic approaches from similar cases, improving efficiency without requiring complex real-time analysis algorithms.
Solution Approach 2:
The system performs preliminary processing of historical examination data and patient metadata to pre-determine the examination sequence before the actual examination begins. This pre-computation approach improves examination efficiency by providing a ready-to-follow protocol, while avoiding the complexity of continuous real-time analysis during the examination process.
Data Source
AI summary
A system for assisting a gum disease examination provides indication of an oral area to be examined during an examination of the gums of a subject under diagnosis. Historical examination data is used in respect of a set of subjects. Using this data, a first oral area to be examined is determined, and based on the historical examination data and the measurement for any previously examined oral areas during the examination, a next oral area to be examined is also determined. In this way, a sequence of oral areas to be examined is determined by the system, with the aim of making the examination as quick as possible, by obtaining a diagnosis after as few measurements as possible (when there is a positive diagnosis to be made).