As part of its ongoing efforts to advance scientific research and within its initiatives to develop the capabilities of postgraduate students and enhance the quality and efficiency of research using the latest technologies, the College of Applied Medical Sciences, in collaboration with the College of Computer and Information Sciences, organized two specialized workshops on the use of artificial intelligence in medical research. The workshops were held from October 6–7, 2025.
The first workshop, titled "Machine Learning in Biomedical Research," was presented by Dr. Fawaz Juhaim Alruwaili and Dr. Haitham Mohammed Bin Shaikha.
The second workshop, titled "AI Applications in Biomedical Research," was delivered by Dr. Malak Zaid Alomari.
These workshops targeted postgraduate students in medical and health sciences who are interested in developing their research skills and integrating artificial intelligence into their academic research. The primary goals were to improve the quality and efficiency of medical research by introducing participants to modern technologies, enabling them to understand the fundamentals of AI and its applications in scientific research, and fostering critical thinking and innovation in integrating AI into research methodologies.
Key topics addressed by the speakers included:
- Introduction to Machine Learning and its techniques.
- Methods of analyzing medical data using artificial intelligence.
- Practical examples of using AI in disease diagnosis and research analysis.
- Overview of AI tools and platforms used in the medical field.
The workshops witnessed active attendance from postgraduate students and received positive engagement with the presented content. The sessions were marked by dynamic participation, including scientific discussions and interactive questions, reflecting the growing interest in this vital field.
The concluding recommendations from the workshops were as follows:
- Organize similar workshops on a regular basis to promote continuous learning and development.
- Offer advanced workshops focusing on practical programming aspects.
- Strengthen collaboration between specialized academic departments to provide joint training programs in medical AI.
- Encourage students to apply what they have learned in their upcoming research projects.
