Enhancing Accessibility through ICT Trends for Extraocular Muscles Prosthesis Implant: A Comprehensive Literature Review

Description

The objective of this research is to explore ICT trends and their potential impact on EOM prosthesis implant surgeries, with a specific emphasis on improving accessibility and surgical outcomes. Research Questions: What imaging modalities and data sources are essential for constructing Digital Twins tailored for Strabismus Surgeries? What medical image databases exist for addressing EOM issues, particularly in the context of Strabismus? What are the current diagnostic image processing and neural network algorithms available for detecting Strabismus? What components constitute the 3D geometrical models utilized in EOM simulators? How can the eye be quantified using medical imaging? What frameworks and algorithms are available for converting medical imaging into three-dimensional geometrical models, facilitating diagnosis and simulation? What mathematical models are employed in EOM simulations to enhance understanding and training? Methods: The SLR methodology was employed, incorporating diverse research questions and precise definitions. A total of 14 essential keywords were identified, leading to the selection of six appropriate databases. Following rigorous search criteria, 56 relevant research papers were identified and analyzed. Results: Existing databases primarily rely on digital imaging, lacking explicit medical image repositories. Various AI and ML algorithms were identified for diagnosing Strabismus, though a scarcity of algorithms based on medical images was observed.

Period	10 Jul 2024
Event title	ICCHP 2024
Event type	Conference
Location	AustriaShow on map