Computer-based diagnosis support for the interpretation of Hess charts

Area of Science:

• Ophthalmology
• Medical Informatics
• Biomedical Engineering

Background:

• Computer-based storage of patient data is crucial for scientific research and clinical care.
• Effective utilization of strabologic data requires careful analysis of data items, terminologies, and diagnostic methods.

Purpose of the Study:

• To develop a minimal strabologic data structure for storing and interpreting eye-muscle function examination data.
• To create a system that aids in the preparation and verification of diagnoses for muscle paresis.
• To support diagnostic training by presenting Hess charts, diagnoses, and geometric parameters concisely.

Main Methods:

• Analysis of existing patient data collections.
• Construction of a minimal strabologic data structure.
• Application of geometric methods for Hess chart analysis to classify Hess-result figures.
• Linking geometric parameters to specific diagnoses of muscle paresis.

Main Results:

• A structured database for strabologic data was developed, focusing on eye-muscle function.
• Geometric analysis of Hess charts enables classification of results and aids in diagnosing muscle paresis.
• The system facilitates data structuring for scientific and patient management needs.

Conclusions:

• The developed strabologic data system enhances diagnostic accuracy and verification for eye muscle disorders.
• The system serves as a valuable tool for structuring patient data and supporting diagnostic training in ophthalmology.
• Integrating geometric analysis with a structured database improves the interpretation and application of strabologic findings.