Our name reflects the basic component of any 3D medical image (the voxel, like a 3D pixel), and our origins in Edmonton, which is above the 53rd parallel in latitude.
Visit the Northern Institute for
Deep Learning in Ultrasound
Voxel 53 offers expert consulting services for academic and industrial projects in medical imaging. With our combined academic, industrial and clinical experience, our multidisciplinary expert team will work with you to co-develop medical imaging AI solutions customized to your specific problem or use case. With our close links to the University of Alberta, AMII, one of Canada’s top AI institutes, and CIFAR, we can ensure your project uses state-of-the-art AI methodology. Our lean corporate structure allows us to work quickly and efficiently, and to be responsive to your specific needs. Whether you are looking to optimize existing systems or develop cutting-edge imaging tools, Voxel 53 is committed to delivering medical imaging AI solutions tailored for your project.
The flagship product being developed with Voxel 53 assistance is Ultrasound Arm Injury Detect (US-AID), which aims to provide greater access to diagnostic imaging for the assessment of upper limb injuries. These injuries are currently assessed in emergency departments using X-ray, or by outpatient MRI, which involve long wait times. Our solution uses low-cost, pocket-sized ultrasound with images interpreted by AI technology to empower lightly trained users, such as nurses and clinic staff, to perform these examinations, thereby reducing wait times and increasing access to care for those who need it most.
We are currently evaluating and consulting on several other projects in earlier stages, including simplified acquisition of ultrasound images in many body parts, automated analysis of fetal cardiac ultrasound, automated breast ultrasound (ABUS), and MRI of arthritis at knees and temporomandibular joints (TMJ).
Voxel 53 aims to provide educational material that leads to more equitable access to healthcare. Our clinical team develops micro-certification modules for specific aspects of medical diagnostic imaging. These modules are designed to empower healthcare professionals with the knowledge and skills needed to utilize advanced imaging technologies effectively. By offering these educational resources, Voxel 53 strives to bridge the gap in healthcare and ensure that high-quality diagnostic tools are more widely accessible.
Chief Medical Officer (CMO)
Dr. Jacob Jaremko is a Professor of Radiology and Adjunct Professor of Computing Science at the University of Alberta, a practicing board-certified Pediatric and Musculoskeletal radiologist and partner at Medical Imaging Consultants, and co-founder of 3 startup companies including MEDO.ai. He has a PhD in Biomedical Engineering. He is a Canada CIFAR AI Chair and Fellow of AMII, the Alberta Machine Intelligence Institute. His research has focused on developing objective imaging biomarkers of disease in ultrasound and MRI, and on implementing AI-augmented medical imaging diagnostic tools at the clinical point of care -- building the 21st-century stethoscope.
Chief Technical Officer (CTO)
Dr. Abhilash Hareendranathan is an Assistant Professor of Radiology at the University of Alberta, specializing in artificial intelligence (AI), medical image analysis, and ultrasound imaging. He has worked with research teams at Panasonic R&D Center and Curefab in Germany and was formerly the R&D lead at MEDO.ai Inc., an AI start-up focused on medical ultrasound solutions. His research centers on developing AI-driven tools for automatic biomarker discovery, improving the speed and accuracy of ultrasound diagnostics, and enhancing clinical workflows by making AI-assisted imaging more accessible at the point of care.
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