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Search Results 51-60 of 110 for "artificial intelligence"
Developing novel tools for early detection Leveraging a robust body of work and data, we're developing new tools including molecular biomarkers and imaging-based artificial intelligence models and algorithms in our d...
Focus areas Elucidate the association of genetic variants with biomarkers, adverse drug responses and disease states Evaluate the utility and applicability of genetic variants that could modulate drug response in clinical practice Perform genotype-ba...
Contact Us Research Projects Our research projects focus on causes of arthrofibrosis and development of artificial intelligence applications to identify patients with total knee arthroplasty at risk of developing art...
White and colleagues have been pursuing a strong interest in deep learning (DL), machine learning (ML) and artificial intelligence (AI).
., is to develop innovative methodologies and applications for artificial intelligence (AI), machine and deep learning, graph and data mining, ontologies, and semantic web.
Recent advances in the field of gastrointestinal endoscopy are third-space endoscopy, endobariatrics and artificial intelligence.
Examples of current areas of focus include: User centered design methods Development and testing of practice level interventions Measurement and evaluation of interventions Clinical research informatics Artificial intelligence...
Recently, his interests are extending into digital health through the development and testing of artificial intelligence (AI) algorithms.
Liu has also conducted research in deformable image registration and recently expanded his research to big data and deep learning aiming to apply artificial intelligence in radiation therapy.
Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE) .
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