Dental Diagnostics Workflow Integrating ML Models
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Solution Overview
Problem
Dental professionals face challenges in efficiently identifying and communicating oral health issues due to fragmented and siloed patient data, leading to potential misdiagnosis and increased examination time.
Innovation Solution
A system and method utilizing machine learning models to process data from various oral state capture modalities, such as images and sensors, to provide actionable symptom recommendations, diagnoses, and treatment plans, enhancing data integration and predictive analytics for future oral health states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the dentist manually reviews multiple different applications and data sources to gain a full understanding of the patient's dental health, then the completeness of diagnostic information is improved, but the examination time and complexity increase significantly
Solution Approach 1:
The patent combines multiple data sources (dental images, patient history, examination notes, treatment records) into a single integrated digital platform. The system merges fragmented information from different applications into a unified patient record that can be accessed and analyzed comprehensively without requiring the dentist to switch between multiple applications, thus maintaining information completeness while reducing examination time.
Solution Approach 2:
The patent replaces the manual mechanical process of reviewing multiple applications with an automated computer-based system that processes and analyzes patient data automatically. The system uses software algorithms to integrate and evaluate information from various sources, substituting the dentist's manual navigation through multiple applications with an automated digital workflow that maintains diagnostic completeness while significantly reducing the time required.
2Measurement precision
If the dentist manually examines each area of the patient's oral health following a checklist, then the diagnostic thoroughness is improved, but the complexity and time required for the examination increase
Solution Approach 1:
The patent replaces the manual checklist-based examination process with an automated computer-based diagnostic system. The system uses software algorithms to systematically evaluate all areas of oral health, replacing the dentist's manual checklist navigation with automated analysis that maintains diagnostic thoroughness while reducing process complexity and time requirements.
Solution Approach 2:
The patent enables the examination system to perform self-evaluation through automated analysis of patient data. The computer-based system automatically processes dental images, patient history, and examination notes to generate diagnostic assessments, reducing the need for manual checklist review while maintaining diagnostic thoroughness and simplifying the examination process.
3Measurement precision
If the dentist spends more time with each patient to identify all oral conditions and convey treatment information, then the diagnostic accuracy and patient understanding are improved, but the productivity and number of patients that can be seen decrease
Solution Approach 1:
The patent replaces the dentist's manual diagnostic and communication process with an automated computer-based system that rapidly analyzes patient data and generates diagnostic assessments. The system processes multiple data sources simultaneously to maintain high diagnostic accuracy while significantly reducing the time required per patient, thereby increasing overall clinic productivity and patient throughput.
Solution Approach 2:
The patent performs preliminary automated analysis of patient data before the dentist's final review. The system pre-processes dental images, patient history, and examination notes to generate initial diagnostic assessments and treatment recommendations, allowing the dentist to focus on final verification and patient communication. This preliminary action maintains diagnostic accuracy while reducing the time the dentist needs to spend with each patient.
4Ease of manufacture
If multiple different applications and data sources are used to store patient dental information, then the specialization and organization of data are improved, but the ease of access and integration of information deteriorates
Solution Approach 1:
The patent merges multiple specialized data sources (dental imaging systems, patient history databases, examination software, treatment planning tools) into a single integrated digital platform. The system combines these previously separate applications into one unified interface where all patient information is centrally stored and easily accessible, maintaining data organization and specialization while dramatically improving ease of access and information integration.
Data Source
AI summary
A method includes receiving data of a current state of a dental site of a patient, the data comprising a plurality of data items generated from a plurality of oral state capture modalities. The data is processed using a plurality of trained machine learning models that output estimations of one or more oral conditions. The data and/or estimations are processed to generate at least one of a) one or more actionable symptom recommendations for one or more oral health problems associated with the one or more oral conditions or b) one or more diagnoses of the one or more oral health problems. One or more treatment recommendations are generated for treatment of at least one oral health problem based on at least one of the one or more actionable symptom recommendations or the one or more diagnoses.