Joost A. van der Putten

Joost A. van der Putten is a Researcher at Eindhoven University of Technology's Electrical Engineering department, affiliated with the Center for Care & Cure Technology Eindhoven and specializing in Video Coding & Architectures. His work bridges electrical engineering and medical applications through advanced AI development.

His research expertise spans critical areas in medical AI:

• Computer-Aided Detection systems for gastrointestinal conditions
• Neural network applications in endoscopic imaging
• Early cancer detection in Barrett's esophagus
• Foundation models for medical image analysis
• Real-world implementation of AI in clinical settings

Van der Putten's recent publications reveal a strategic focus on developing robust AI solutions that address practical challenges in endoscopic imaging, particularly improving detection accuracy under varying real-world conditions while optimizing human-AI interaction through thoughtful interface design. His work demonstrates strong translational potential from laboratory to clinical practice.

His notable recognition includes:

• Second place in the GIANA challenge for Angiodysplasia detection (2017)

He actively contributes to major research initiatives including XL-ARGOS (through June 2025) focused on automatic recognition of esophageal irregularities, and PATIENCE 2 (completed November 2023) developing patient-centric healthcare technologies. His research has garnered significant media attention, particularly regarding algorithms that detect early-stage esophageal cancer, potentially preventing invasive surgery and reducing mortality.