Studies in health technology and informatics
Feb 12, 2026
Mobile health (mHealth) applications and AI-enabled health applications are expanding rapidly, yet their evaluation remains fragmented and inconsistent. Numerous frameworks exist, but none are universally adopted, leaving patients, clinicians, and po... read more
Studies in health technology and informatics
Feb 12, 2026
Artificial intelligence (AI) is increasingly integrated into clinical workflows worldwide, yet in Canada its adoption remains fragmented, unevenly distributed, and siloed within acute care and diagnostic imaging. To address the absence of a pan-Canad... read more
Studies in health technology and informatics
Feb 12, 2026
Artificial intelligence (AI) is advancing rapidly in Ontario's health system, yet adoption remains uneven due to limited governance and system-wide learning structures. This paper examines ten AI governance frameworks against OECD principles and asse... read more
Studies in health technology and informatics
Feb 12, 2026
Ontario faces persistent diagnostic imaging (DI) challenges, which includes fragmented implementation of Artificial Intelligence (AI) solutions. The Canadian Association of Radiologists (CAR) has emphasized the need for freely available, modality-spe... read more
Studies in health technology and informatics
Feb 12, 2026
Artificial intelligence (AI) is transforming healthcare through advances in imaging, predictive analytics, and workflow optimization. However, its adoption raises concerns about fairness, transparency, accountability, and equity. Canada, with its str... read more
Studies in health technology and informatics
Feb 12, 2026
Alzheimer's disease and related dementias (ADRD) remain underdiagnosed early due to reliance on costly, invasive, and time-intensive assessments, prompting development of the Memory Sync Booth, an AI-assisted walk-in screening tool for older adults. ... read more
Studies in health technology and informatics
Feb 12, 2026
This study evaluates small language models with FAISS and Dynamic Top-k for diabetes-focused medical text retrieval, with all-mpnet-base-v2 performing best and FAISS (FAISS Facebook AI Similarity Search) maintaining sub-2 ms latency even at tenfold s... read more
Artificial intelligence systems are beginning to function as "co-scientists" in cancer research, generating drug candidates, prioritizing immunotherapy targets, and guiding experimental design. Emerging platforms now extend beyond analysis and hypoth... read more
The pronounced heterogeneity of the tumor microenvironment (TME) in colorectal cancer (CRC) presents major obstacles in accurately predicting patient outcomes and tailoring treatment responses. Deciphering this intricate microenvironment based on his... read more
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