Scientific Sessions of the First Day of “Applications of Artificial Intelligence in Medical Engineering” Symposium

Participants in the sessions of the first day of “Applications of Artificial Intelligence in Medical Engineering” Symposium, organized by Damascus University in cooperation with the General Secretariat of the Federation of Arab Engineers and the Syrian Engineers Syndicate, discussed several important topics related to the employment of artificial intelligence in the field of medical engineering, and how to enhance cooperation between local and international universities.

In the second session, chaired by Dr. Zuheir Marmar and Dr. Rasha Masoud, researchers discussed several topics, including applications of artificial intelligence in improving medical devices.

In her lecture entitled “Recent Trends in Medical Engineering,” Dr. Masoud reviewed the most prominent developments and trends taking place in medical engineering, and highlighted the following aspects:

·         Application of artificial intelligence in medical diagnosis: how to use machine learning and deep learning techniques to improve the accuracy of early diagnosis of diseases, such as cancer and heart disease, which contributes to improving treatment outcomes.

·         Smart Medical Device Development.

·         Predictive Modeling: the use of predictive models to analyze big medical data, such as predicting mortality or complication rates for patients in intensive care units.

• Artificial Intelligence-guided treatment: the role of artificial intelligence in designing personalized treatment plans based on patient data and analysis to achieve the best outcomes.
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• Ethical and technical challenges: ethical issues associated with the use of artificial intelligence in medicine, such as privacy and data analysis, and the need to work on clear regulatory standards.
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In a lecture entitled “Optimizing EEG Segment Length for Accurate Mental Workload Detection in pBCIs,” Dr. Ghada Saad from Tishreen University, along with engineer Nibras Abo AlZahab from the Politecnica delle Marche University, presented a scientific study aimed at improving the accuracy of mental workload detection using a personal brain-computer interface (pBCIs).

In another lecture entitled “Real-Time Eye Movement-Controlled Wheelchair Using Image Processing and SSD Network for Enhanced Directional Classification,” Dr. Mohammad Ayham Darwish, in cooperation with engineer Hala Homsieh from Tartous University, presented an innovative study that highlights the development of a wheelchair controlled by eye movements in real time, using image processing techniques and neural networks.

Engineer Saad Mohammad Al-Kuntar from Al-Baath University presented in a lecture entitled “A Hybrid Multistage Deep Learning System for Breast Cancer Classification,” an advanced study on using a multi-stage deep learning system to classify breast cancer with high accuracy.

Topics of the third session, chaired by Dr. Moustafa Al-Mawaldi and Dr. Ghada Saad, focused on reviewing a group of distinguished research presented by graduate students at Damascus University, where the research focused on applications of artificial intelligence in vital fields within engineering.