On April 14, 2025, an academic lecture titled "Trustworthiness and Applications of AI in Clinical Oncology" was successfully held at Room 812, South Tower, College of Engineering, Southern University of Science and Technology (SUSTech). The lecture was organized by the  Research Institute of Trustworthy Autonomous Systems (RITAS) and delivered by Professor Sotirios Bisdas, a Radiology professor at the University of Tübingen, Germany, and the Director of Neurology and Neuroradiology at UCL, UK. The session was chaired by Professor Jianguo Zhang from RITAS at SUSTech, with members of the CVIP（Computer Vision and Image Processing） team also attending.

In the lecture, Professor Bisdas provided a detailed introduction to the trustworthiness and applications of artificial intelligence (AI) in clinical oncology. He focused on how AI plays a significant role in early cancer detection, treatment planning, and patient prognosis assessment. Professor Bisdas emphasized that AI technologies are rapidly transforming the field of oncology care, enabling more efficient clinical workflows while reducing the costs and time consumption associated with traditional methods. He highlighted that AI’s multimodal learning and multi-omics integration could accelerate cancer drug discovery and the development of treatment plans, providing new solutions for precision medicine.

Furthermore, Professor Bisdas outlined the future directions for AI in oncology. He suggested that future research should focus on further optimizing the reliability, transparency, and interpretability of AI models, particularly in terms of cross-domain applications and integration with human health. He also pointed out the importance of enhancing AI’s generalization capabilities to improve its practical clinical performance, while simultaneously reducing the need for labeled data.

Professor Jianguo Zhang highly praised Professor Bisdas's lecture and expressed his anticipation for continued collaboration between their teams to further promote the innovative application of AI in medical imaging and oncology. 
 

Following the lecture, Professor Bisdas visited the CVIP Laboratory established by Professor Jianguo Zhang, where he engaged in friendly interactions and academic discussions with the CVIP research team. Professor Bisdas expressed his hope to strengthen future academic exchanges and facilitate mutual visits between the two teams, laying the groundwork for comprehensive collaboration between their laboratories.

Professor Bisdas’ visit not only provided a valuable platform for RITAS’s researchers and students to learn and exchange ideas, but it also strengthened academic cooperation between SUSTech and leading international experts in the field of medical AI.