King Khalid University Researcher Receives Patent for AI Medical Imaging System

A faculty member at King Khalid University's College of Computer Science, Dr. Eman Yahya Al-Qaisi, has been granted a patent by the Saudi Authority for Intellectual Property (SAIP) for her invention, "A Convolutional Neural Network-Based System for Multimodal Medical Image Diagnosis."
 The invention involves developing an AI-powered system that can analyze and diagnose medical images within seconds. The system automatically identifies the type of image provided and assists in detecting a range of health conditions.
 Al-Qaisi explained that the system stands out for its ability to automatically identify and analyze different types of medical images using a single, lightweight model. It can also operate in real time on mobile devices without requiring an internet connection.
 She noted that testing demonstrated promising results in the analysis of multimodal medical data, covering a range of conditions, including hemorrhagic and ischemic strokes, brain tumors, and chest infections.
 The invention is particularly significant as a diagnostic support tool for healthcare settings facing radiologist shortages or limited internet connectivity.