We are proud to celebrate an outstanding international achievement by a team of final-year students from the Systems and Biomedical Engineering Department. The team, consisting of Mostafa Ali, Ahmed Soliman, Ibrahim Fateen, Meram Hamid, and Shahd Ali, and supervised by Assistant Professor Dr. Meena M. Makary and Eng. Hossam Elrewaidy, PhD, Artificial Intelligence Engineer at GSK, has achieved 5th place in the MICCAI Society Startup Village Pitch Competition 2026 with their graduation project, CUBE AI.

CUBE AI was selected among only nine startups that advanced to the final pitch competition, where finalists presented their innovations through a competitive pitch and Q&A session, followed by audience voting and evaluation by an international jury of experts from academia and industry, including representatives from AWS, NVIDIA, and ImFusion. This achievement places the Cairo University student-led project among the Top 5 startups in the 2026 competition.

The achievement is particularly significant given the international standing of MICCAI. The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society represents one of the world’s leading scientific communities in medical imaging and artificial intelligence. Its annual MICCAI Conference is widely recognized as the flagship and premier international conference in medical image computing and computer-assisted intervention, bringing together leading researchers, clinicians, engineers, and industry experts from around the world to advance medical image computing, machine learning in medical imaging, and computer-assisted interventions.

The MICCAI Startup Village extends this mission toward entrepreneurship and real-world translation, providing a platform for emerging startups and technologies to showcase innovations with the potential to transform medical imaging and healthcare. CUBE AI’s recognition on this international platform highlights the project’s potential to bridge cutting-edge scientific research and practical clinical innovation.

CUBE AI (Cairo University Biomedical Engineering AI) is an agentic AI platform designed to automate the full radiology research workflow—from cohort selection and medical image segmentation to modeling, analysis, and report drafting. Through a unified, PACS-integrated workflow, CUBE AI aims to empower clinicians and researchers to conduct end-to-end imaging studies without requiring programming expertise. The platform helps bridge the gap between published medical imaging methods and practical radiology research and deployment, making advanced AI, segmentation, radiomics, and medical image analysis techniques more accessible to healthcare researchers and clinicians.

The Systems and Biomedical Engineering Department proudly congratulates the CUBE AI team and their supervisors on this remarkable achievement and wishes them continued success as they take their innovation from a graduation project to the international stage.

Official MICCAI Society announcement:

MICCAI Startup Village Pitch Competition 2026 Winners