Deep learning-based quality control for tissue motion tracking in 2D-cine MRI-guided radiotherapy

With real-time acquisition of 2D imaging planes, 2D-cine MRI is often used to visualize rapidly moving tumors and organs-at-risk during radiotherapy, and automatic image registration of 2D-cine MRIs at different time points can assist in tracking tissue displacements. However, when sudden large motions occur, automatic registration algorithms can fail to track the radiation target, potentially […]

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Monitoring and Interpretation of Anaerobic Digester Sensor Data

Anessa is developing software that assesses the feasibility of an anaerobic digestion facility at the earliest stages when trying to determine if a facility should be constructed. The challenge is that little information is fully known and there are a lot of factors that can affect the outcome to be positive or negative in the […]

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AI in Ophthalmology triage automation

Access to specialist care, especially in rural and remote locations, is a growing challenge in Alberta. Patients with conditions such as age-related macular degeneration, diabetes, and macular edema must travel to large urban centres for assessment by retinal specialist ophthalmologists. Assessment typically requires OCT imaging, which is now broadly available through optometrist offices across the […]

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Using AI and ML to advance frailty detection and management

The combination of aging alongside chronic conditions such as primary biliary cholangitis leads to accelerated muscle mass loss that impacts physical function. At advanced stages, this is termed frailty. Frailty is one of the strongest predictors of poor clinical outcomes including death. In this project we will use multidimensional digital health data and artificial intelligence […]

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Apprentissage automatique quantique (QML) pour la détection du cancer

Le cancer demeure un défi mondial majeur, avec 19,3 millions de nouveaux cas et 10 millions de décès en 2020. Les progrès de l’intelligence artificielle (IA) ont amélioré la détection des tumeurs. Cependant, obtenir des informations cliniquement utiles reste un défi. L’informatique quantique offre des accélérations exponentielles, notamment avec l’apprentissage automatique quantique (QML), suscitant un […]

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Developing a Mental Health Access Prioritization Algorithm as an API Service

Mental illness is considered one of the most serious conditions that one can develop. If left untreated, it could result in worsening the condition of the patient and increase the difficulty of treatment. From a patient’s perspective, most of the time even if they suffer with severe and debilitating symptoms, there’s still a prolonged wait […]

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LegacyX Large Language Model – Knowledge retention, sharing and mobility

In this project, we will develop a system to revolutionize how knowledge is captured, retained, shared, managed and utilized, particularly in software development and user support. Our aim is to capture essential knowledge that has accumulated by experts and is often overlooked, organizing it systematically for easy access and application by others. A key component […]

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AI Solutions Engineer Intern

Tekside aims to streamline marketing processes through harnessing the power of artificial intelligence (AI) to provide insights and streamline content creation. The core focus is ensuring that the content we generate is not generic but highly personalized and relevant to specific customer segments. Tekside emphasizes the activation of tailored content using Intelligent Email Marketing. Tekside […]

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Evident : Modèle de fondation pour images ultrasonores

Dans le domaine du contrôle non destructif, l’intelligence artificielle peut être déployée pour inspecter des images ultrasonores (ce sont des échographies de matériaux métalliques, composites ou autres), pour y détecter des défauts de fabrication ou d’usure (fissures, corrosion, etc.). Traditionnellement, les modèles d’IA sont entraînés pour un cas d’usage spécifique sur les données relatives au […]

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