Shreyasi Pathak

Shreyasi Pathak is a Researcher and Internal PhD Candidate at the TechMed Centre, University of Twente, specializing in Biomedical Signals and Systems. Her work bridges artificial intelligence and clinical medicine through interpretable machine learning models for healthcare decision support systems.

Education:

• Master of Science, University of Twente (2016-2018)

Her research focuses on Explainable Artificial Intelligence (XAI) with emphasis on multimodal prediction systems for medical applications. She develops transparent deep learning models to address clinical challenges including breast cancer diagnosis and hip fracture risk assessment, prioritizing model interpretability for clinician trust and adoption. Her methodology integrates preoperative data with Long Short-Term Memory networks and prototype-based evaluation frameworks.

Recent publications demonstrate a clear trend toward clinically deployable AI systems where explainability is non-negotiable. Her work on feature importance mapping and prototype-based validation establishes new standards for trustworthy healthcare AI, moving beyond 'black box' solutions to reality-centric implementations that respect clinical workflows and domain knowledge constraints.

Research Environment: She operates within the Biomedical Signals and Systems group at TechMed Centre, an interdisciplinary hub fostering collaboration between engineers, computer scientists, and medical professionals to translate technological innovations into tangible healthcare improvements.