Designing Medical AI Without Oversimplifying Reality
By Zeineb
Zeineb explains the motivation and design behind AutoScanAI, a clinically grounded medical AI system built for early brain tumor detection using MRI data.
By Zeineb
Zeineb explains the motivation and design behind AutoScanAI, a clinically grounded medical AI system built for early brain tumor detection using MRI data.
More from the Lab
Kevin introduces Cenarius, a project that scans real-world environments like farmlands and construction sites into interactive 3D spaces.
Mugi tests Plask and FreeMoCap for ASL motion capture, comparing how well they track gestures and outlining strengths, limits, and animation challenges.
This 3D tumor visualization looks impressive, this system works. But more importantly, it fails loudly when it should.
What makes an AI interviewer trustworthy? Not intelligence — behavior. Four research-backed principles for building Yield.
Research-backed principles that make AI interviews feel more natural and trustworthy.
Yield interviews every employee, connects every system, and builds a live map of how your company actually works.