Jialu Tang
TU/e. Netherland.
Hi, my name is Jialu, and I am a PhD candidate specializing in AI healthcare, with a particular focus on developing Large Multimodal Models (LMMs) for advanced cardiovascular diagnostics. My research aims to design an explainable diagnostic system that supports clinicians in detecting and interpreting heart conditions using electrocardiograms (ECGs).
The core of my work revolves around making AI-driven models more transparent and user-friendly, ensuring that clinicians can not only rely on the system for accurate predictions but also understand the reasoning behind those predictions. By emphasizing explainability, I aim to foster trust between clinicians and AI, ultimately enhancing decision-making and improving patient outcomes in cardiovascular care.
Through this work, I hope to bridge the gap between cutting-edge AI technology and real-world clinical practice, empowering healthcare professionals with tools that are both powerful and comprehensible.