AutoScanAI

In this introduction, Zeineb presents her medical AI project and explains her long-standing interest in the intersection of medicine and informatics. The focus of her work is on developing systems that can detect brain tumors as early as possible, before they become life-threatening. She discusses why early detection is critical, how improved precision and analysis can provide more options for patients, and how AI-based approaches can support better medical decision-making. This video sets the foundation for her project, outlining the motivation, goals, and potential impact of using AI to improve early tumor detection.

In this week’s demo, Zeineb shares an update on her work, walking through recent progress on her model and discussing the latest experiments she’s been running. The session focuses on refining the system and evaluating results as the project continues to move forward.

In this week’s Lightbloom Lab demo, Zeineb explains why she upgraded her MRI tumor-detection model from ResNet18 to ResNet50. Her goal: build a stronger system capable of identifying tumors more accurately from MRI scans.

Join us inside the Lightbloom AI Lab in Budapest as our researcher, Zeineb, demonstrates the latest critical improvements to our Autoscan AI model for early brain tumor prediction.