Participation in a Scientific Lecture

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Done By: Department of Biomedical Engineering

Post Date: 2024-12-03

Last Browse: 2025-07-03


Assistant Professor Dr. Hadeel Qasim Wadi, a faculty member at Al-Nahrain University, College of Engineering, Department of Biomedical Engineering, participated in a scientific lecture titled:
"Artificial Intelligence in Medical Imaging."

The lecture was part of a symposium held under the patronage of the Union of Arab Engineers, the Syrian Engineers Syndicate, and the University of Damascus/Department of Biomedical Engineering at the Faculty of Mechanical and Electrical Engineering in Damascus.

Dr. Hadeel was accompanied by Dr. Hussein Abdul Jaber, a faculty member in the Department of Biomedical Engineering, in attending the lecture. The event fostered an exchange of ideas and expertise on one of the most critical technological and medical issues of our time:
"Applications of Artificial Intelligence in Biomedical Engineering."

The symposium covered several vital topics in AI and its applications in biomedical engineering, including:

  • AI in Early Diagnosis and Automated Disease Detection: Highlighting how AI enhances the accuracy and speed of diagnosis, helping doctors detect diseases at early stages.
  • AI in Medical Equipment Development: Exploring this evolving field as a key to innovating precise medical tools that improve the quality of healthcare services.
  • AI in Biomechanics and Rehabilitation: Discussing the design of assistive devices and rehabilitation technologies to improve patients’ quality of life.
  • Smart Medical Robotics: Showcasing the latest advancements in intelligent medical robots, which enable innovations such as remote surgery and provide precise and safe assistance to doctors and patients.
  • AI in Medical Treatment and Precision Medicine: Addressing its role as a critical tool for analyzing health data and providing personalized treatment based on genetic makeup and unique health environments.
  • AI in Bioinformatics and Medical Signal/Image Processing: Emphasizing its fundamental role in analyzing big data and extracting patterns that contribute to accurate diagnoses and advanced healthcare solutions.

The event underscored the transformative potential of AI in revolutionizing medical and engineering practices, paving the way for enhanced patient care and innovative solutions.