Faculty profile
Christopher Mcintosh
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Toronto directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Machine Learning-based Model for Major Adverse Cardiac Event Prediction in Patients with Hypertrophic Cardiomyopathy.
Radiology. Cardiothoracic imaging · 2026
Developments in Digital Wearable in Heart Failure and the Rationale for the Design of TRUE-HF (Ted Rogers Understanding of Exacerbations in Heart Failure) Apple CPET Study
Circulation: Heart Failure · 2025
Remote Mobile Outpatient Monitoring in Transplant (Reboot) 2.0: Protocol for a Randomized Controlled Trial
JMIR Research Protocols · 2021
Latest funding
- $803,250
Wearable Evaluation of Ambulatory Remote Heart Failure with machine learning (WEAR-HF)
CIHR · 2025 · Nominated PI
- $447,524
Personalized Assessment of Biomechanical Properties of Ascending Aortic Aneurysms using Magnetic Resonance Imaging: Risk Stratification using Machine Learning
CIHR · 2024 · Co-investigator
- $604,352
Generative Adversarial Networks for MRI-driven Radiation Therapy
CIHR · 2023 · Co-investigator
3 publications.
Machine Learning-based Model for Major Adverse Cardiac Event Prediction in Patients with Hypertrophic Cardiomyopathy.
Geyer T, McIntosh C, Sood V, Matos JF, McKee H, Hanneman K
Developments in Digital Wearable in Heart Failure and the Rationale for the Design of TRUE-HF (Ted Rogers Understanding of Exacerbations in Heart Failure) Apple CPET Study
Moayedi Y, Foroutan F, Gao Y, Kim B, De Luca E, Brum M, Brahmbhatt DH, Duhamel J, Simard A, McIntosh C
Remote Mobile Outpatient Monitoring in Transplant (Reboot) 2.0: Protocol for a Randomized Controlled Trial
Murray KR, Foroutan F, Amadio JM, Posada JD, Kozuszko S, Duhamel J, Tsang K, Farkouh ME, McDonald M, Billia F
Wearable Evaluation of Ambulatory Remote Heart Failure with machine learning (WEAR-HF)
Principal investigators: Mcintosh, Christopher J; Moayedi, Yasbanoo; Ross, Heather J
Keywords: Exercise Physiology; Heart Failure; Machine Learning; Wearables
Personalized Assessment of Biomechanical Properties of Ascending Aortic Aneurysms using Magnetic Resonance Imaging: Risk Stratification using Machine Learning
Principal investigators: Chung, Jennifer
Keywords: Aortic Aneurysm And Dissection; Magnetic Resonance Imaging; Vascular Biomechanics
Generative Adversarial Networks for MRI-driven Radiation Therapy
Principal investigators: Stanescu, Teodor; Chan, Timothy; Hosni Abdalaty, Ali
Keywords: Artificial Intelligence; Automation; Deep Learning; Generative Adversarial Networks; Image Synthesis; Mr-Linac Systems; Mri-Guided Radiation Therapy; Mri-Only Radiotherapy; Online Adaptive Radiotherapy; Synthetic Ct
Improving Adaptive Radiation Therapy Efficiency with Machine Learning Treatment Planning
Principal investigators: Khalifa, Aly
Keywords: Adaptive Radiation Therapy; Automation; Image Guided Therapy; Machine Learning; Magnetic Resonance Imaging; Medical Physics; Personalized Medicine; Prostate Cancer; Radiation Therapy; Treatment Planning
Cardiopulmonary fitness prediction in heart failure patients using wearable devices
Principal investigators: Gao, Yuan
Keywords: Cardiology; Heart Failure; Machine Learning; Remote Monitoring; Wearable Devices
Clinical Deployment of an End-to-End Artificial Intelligence (AI)-only Radiotherapy Treatment Planning and Decision Support Workflow
Principal investigators: Purdie, Thomas G; Berlin, Alejandro; Mcintosh, Christopher J
Keywords: Artificial Intelligence; Automation; Decision Support; Image Segmentation; Machine Learning; Medical Physics; Radiation Oncology; Radiation Therapy; Treatment Planning
Picosecond InfraRed Laser Mass Spectrometry (PIRL-MS) for Rapid Determination of Pediatric Brain Tumour Pathology
Principal investigators: Zarrine-Afsar, Arash
Keywords: Pediatric Brain Cancers
Development and comparison of radiomics models for prognosis and monitoring
Principal investigators: Haibe-Kains, Benjamin; Hope, Andrew J
Keywords: Biomarker; Cancer; Computer Vision; Deep Learning; Image Analysis; Prognosis; Radiomics
Advancing Personalized Cancer Care with an Automated Radiomics-Based Radiation Therapy Method
Principal investigators: Purdie, Thomas G; Chan, Timothy; Ward, Aaron
Keywords: 1101 Human Health; 1211 Medical And Health Sciences; 2603 Computer Vision; 2715 Optimization; Automation; Knowledge-Based Radiation Treatment Planning; Medical Image Analysis; Medical Physics; Personalized Cancer Medicine; Radiation Oncology
Improving Quality and Patient Safety in Radiation Therapy by Integrating Multi-Disciplinary Criteria into an Artificial Intelligence System
Principal investigators: Purdie, Thomas G; Jurisica, Igor
Keywords: 1211 Medical And Health Sciences; 2603 Computer Vision; 2605 Pattern Analysis And Machine Intelligence; 2804 Expert Systems; 9000 Health Sciences; Automation; Medical Physics; Patient Safety; Quality Assurance; Radiation Oncology
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Radiation Oncology/Medical Physics
- Health Research Methods, Evidence, and Impact
- Physiology
- Medical Imaging
- Transplant Program
- Other
Co-authors at University of Toronto, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Yasbanoo Moayedi
Faculty
2 shared papers, latest 2025
Farid Foroutan
Health Research Methods, Evidence, and Impact
2 shared papers, latest 2025
Filio Billia
Physiology
1 shared papers, latest 2021
Mamatha Bhat
Transplant Program
1 shared papers, latest 2021
Kate Hanneman
Medical Imaging
1 shared papers, latest 2026
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