Medical Image Analysis by Cognitive Information Systems - a Review

Area of Science:

• Medical Image Analysis
• Cognitive Information Systems
• Artificial Intelligence in Medicine

Background:

• Medical image analysis is crucial for diagnostics and therapy.
• Existing systems often require sophisticated interpretation.
• Cognitive information systems offer a novel approach to data interpretation.

Purpose of the Study:

• To review medical image analysis systems based on cognitive information paradigms.
• To explore semantic processes in analyzing diverse medical images.
• To define cognitive information systems for decision support in medical contexts.

Main Methods:

• Review of cognitive information systems applied to medical image analysis.
• Examination of semantic analysis and interpretation methods for medical images.
• Application of different cognitive information system classes to analyze medical images of human organs with pathologies.

Main Results:

• Demonstration of cognitive information systems' capability in medical image analysis.
• Identification of semantic processes for extracting meaningful features from medical images.
• Validation of these systems for decision support in diagnostic and therapeutic workflows.

Conclusions:

• Cognitive information systems provide a powerful framework for semantic analysis of medical images.
• These systems enhance the interpretation of complex medical data, supporting clinical decisions.
• The approach facilitates a novel analysis of medical images, improving diagnostic accuracy and therapeutic planning.