Pancreatic Disease Management
Multimodal risk stratification for cystic precursor lesions and pancreatic cancer, predicting malignant progression and treatment planning from imaging, labs and clinical variables.
Research Associate in Surgical Data Science · EKFZ, University Medical Center, TU Dresden
PhD Candidate in Biomedical Engineering · Purdue Univeristy
Building deep learning and multimodal AI systems that turn heterogeneous clinical data, spanning radiological and pathological images, electronic health records, genomics, and surgical videos, into actionable insights for diagnosis, prognosis, and precision medicine.
About
I am a Research Associate at Else Kröner Fresenius Center for Digital Health at TU Dresden and a PhD candidate working at the intersection of multimodal AI, medical imaging, and surgical data science, with a focus on pancreatic diseases across the cancer continuum, from precursor lesions to pancreatic ductal adenocarcinoma (PDAC). My research develops AI methods and frameworks for preoperative diagnosis, risk stratification, and treatment planning, while also exploring the theoretical foundations, vulnerabilities, and scalability of vision-language models.
Other domains I am actively working on include autonomous AI agents for healthcare and causal machine learning, with a focus on developing systems that can reason across complex data and orchestrate clinical workflows. I also worked in regulatory science and the translation of AI-enabled medical technologies into clinical practice.
I am advised by Dr. Fiona R. Kolbinger, and affiliated with the Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus and Else Kröner Fresenius Center for Digital Health at TU Dresden in Dresden, Germany, as well as the Weldon School of Biomedical Engineering at Purdue University in West Lafayette, Indiana.
2024 – Present
Purdue University, Weldon School of Biomedical Engineering · West Lafayette, IN
2024 – 2026
Purdue University, Weldon School of Biomedical Engineering · West Lafayette, IN
2024 – 2026
Purdue University, Weldon School of Biomedical Engineering · West Lafayette, IN
2019 – 2023
National University of Sciences and Technology (SEECS) · Islamabad, Pakistan
Research
Multimodal risk stratification for cystic precursor lesions and pancreatic cancer, predicting malignant progression and treatment planning from imaging, labs and clinical variables.
Video understanding for minimally invasive surgery, vision-language models for intraoperative decision support.
What it should take to approve a medical AI device: study requirements across jurisdictions, and the gap between research and clinical translation.
The fundamental limits that bound large language models regardless of scale, and generalisation under distribution shift.
Publications
Full publication list on Google Scholar. Author identifiers on ORCID.
Journal articles
Preprints
Conference papers
News
Oct 2026
Jul 2026
Jul 2026
To radiologist-AI collaboration for clinical management of IPMN patients. Read more
Jun 2026
To attend and present work at MICCAI 2026 happening in Strasbourg, France.
Mar 2026
Multimodal prediction of textbook outcome after distal pancreatectomy and after pancreatoduodenectomy.
Dec 2025
Field strength-dependent performance variability in deep learning-based analysis of magnetic resonance imaging.
Jun 2025
To pursue clinical immersion at IU Health University Hospital, with a focus on Diagnostic & Interventional Radiology and Surgical Oncology. Read more
Aug 2023
AquaDrone for Water Quality Assessment Read more
Awards & honours
Contact
I am always open to discussing new research collaborations and opportunities.
Muhammad Ibtsaam Qadir
Purdue University
West Lafayette, IN, United States