2 results match your criteria: "Nicosia of University[Affiliation]"
Gynaecological Artificial Intelligence Diagnostics (GAID) GAID and Its Performance as a Tool for the Specialist Doctor.
Healthcare (Basel)
January 2024
Medical School, Nicosia of University, Nicosia 2408, Cyprus.
Background: Human-centric artificial intelligence (HCAI) aims to provide support systems that can act as peer companions to an expert in a specific domain, by simulating their way of thinking and decision-making in solving real-life problems. The gynaecological artificial intelligence diagnostics (GAID) assistant is such a system. Based on artificial intelligence (AI) argumentation technology, it was developed to incorporate, as much as possible, a complete representation of the medical knowledge in gynaecology and to become a real-life tool that will practically enhance the quality of healthcare services and reduce stress for the clinician.
View Article and Find Full Text PDFComputer-Aided Diagnosis by Tissue Image Analysis as an Optical Biopsy in Hysteroscopy.
Int J Mol Sci
October 2022
Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM 87131, USA.
Article Synopsis
- The review highlights how computer-assisted tissue image analysis (CATIA) successfully differentiates between normal and abnormal endometrial tissue during diagnostic hysteroscopy.
- In a study involving 40 women, significant statistical differences in texture analysis features were found between normal and abnormal endometrial regions, leading to high classification accuracy using support vector machine modeling.
- Advancements in technology and collaborative efforts are expected to enhance optical biopsy precision and integrate CATIA methods into routine hysteroscopic practice.