Interdisciplinary Training on Medical AI Held at the Laboratory for Biomaterials and Bioengineering, Institute of Science Tokyo

As part of the activities of RCBE (Research Center for Biomedical Engineering), an annual hands-on training program on medical AI was held to foster young researchers in interdisciplinary fields. This year, the training was held online for four days, from October 2 (Thursday) to October 7 (Tuesday), hosted by the Laboratory for Biomaterials and Bioengineering, Institute of Science Tokyo.

Three participants from Tokyo University of Agriculture and Technology and Toyohashi University of Technology joined the program. The training was conducted by Professor Nakajima, together with two doctoral students and one master’s student from the Laboratory for Biomaterials and Bioengineering.

The program covered topics such as the basic principles of AI, data preparation and preprocessing, implementation techniques, methods to enhance AI performance, and recent trends in medical AI. In the practical sessions, participants implemented neural networks (NNs) and engaged in image classification, object detection, and image segmentation using medical imaging data, followed by the evaluation of NN performance. Participants commented that the course provided a valuable opportunity to gain a deep understanding of AI principles and apply them to real medical imaging data within a short period.

This training program takes advantage of the unique facilities and research environments across the four participating institutes. The RCBE will continue its efforts to nurture the next generation of researchers who will lead the advancement of biomedical engineering.