The Department of Computer Science, in collaboration with the Continuing Education Unit at the College of Science has organized an electronic lecture entitled “Covid-19 detection using machine learning” with the participation of a number of students, researchers and software professionals. The lecture aimed to introduce the concept of artificial intelligence and why to use machine learning to detect diseases such as Coronavirus, while offering some of the ways in which artificial intelligence is used to detect pandemics or associated diseases such as blood clots.
The lecture, presented by Dr. Safaa Khalil, included addressing artificial intelligence, which is a set of guidelines that tell the computer the orders to be implemented and the most important difficulties and obstacles that prevent its use in the medical field, which replaced the human in many other fields, especially the use of artificial intelligence and machine learning algorithms in diagnosis, stressing that it was able to read a large number of X-rays that shed on the chest of man at a faster pace than humans, explaining that researchers based this on a comparison of recent data with previous data recorded on previous waves of infection and other relevant information, as well as the way citizens move from one city to another.
