معرفی
Jorn-Jan van de Beld serves as a Researcher at ZGT Hospital while concurrently pursuing doctoral studies as an Internal PhD Candidate in Datamanagement & Biometrics. His work bridges artificial intelligence and clinical medicine, focusing on developing machine learning solutions for surgical outcome prediction and clinical decision support systems with emphasis on explainability and human-AI collaboration.
His research spans Artificial Intelligence, Deep Learning, and Health Informatics, specifically targeting Surgery and Human-AI Interaction. He investigates how multimodal data integration and model interpretability can enhance surgical safety, particularly in esophagectomy procedures, while ensuring clinical usability through human-centered AI design principles.
His 2024 publications reveal a strong trajectory in clinical AI applications, with three significant works centered on surgical complication prediction and explainable multimodal models. These demonstrate consistent application of deep learning architectures like Long Short-Term Memory networks to sequential clinical data, with growing emphasis on model transparency for high-stakes medical environments.
Scientific recognition includes:
- 3rd Prize Poster Award (awarded April 16, 2025)
No information is available regarding academic advising activities or research grants. Similarly, details about laboratory facilities, research teams, or collaborative networks were not provided in the source material.
