Scholar
Chris McIntosh
Google Scholar ID: PHQGLf0AAAAJ
Scientist, UHN; Assistant Professor, U of Toronto
Citations & Impact
Citations
2,058
H-index
17
i10-index
25
Publications
20
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers on AI in radiation therapy planning, multimodal medical data binding, and assessing the generalizability of AI models. For example, 'ProbMED: A Probabilistic Framework for Medical Multimodal Binding' was accepted by ICCV 2025; 'TREAT: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning' was accepted by MICCAI 2025, etc.
Research Experience
- Serves as the AI Chair at the University of Toronto, leading the McIntosh Lab in conducting artificial intelligence healthcare research from bench to bedside.
Background
- Research Interests: AI in Medical Imaging, Cancer Treatment Planning; Professional Field: Application of Artificial Intelligence in Healthcare.
Miscellany
- Involved in several projects related to AI-assisted heart health monitoring, such as research on using smartwatches for remote heart failure monitoring.
