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DASH UMCG’s Data Science Center in Health
Peter van Ooijen, MSc, PhD, CPHIMS Data Science Center in Health (DASH) – Machine Learning Lab
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. DASH UMCG’s Data Science Center in Health Aim To stimulate awareness and advancements in data science and AI within the UMCG, locally and regionally and to become the center of expertise for data science in health in the Northern region. Actions Support healthcare professionals, researchers, educators, students and private partners with respect to machine learning, data science and AI.
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. DASH UMCG’s Data Science Center in Health Activities ‘Community building’, educational activities, DASH Projects, DASH Machine Learning Lab, (help to) acquire funding, networking, and linking up with regional/ (inter)national initiatives. DASH team Program Manager, MLL Coordinator, Liaison Officer/Staff advisor, Project & Product portfolio manager, secretarial support and two advisors.
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DASH DASH Machine Learning Lab
. DASH UMCG’s Data Science Center in Health DASH Machine Learning Lab Support the UMCG community with respect to the knowledge and utilization of data science/AI. Activities: ML advice, knowledge and support Connect broad ML community at the UMCG Challenge participation with UMCG DASH team Organize/execute pilot projects for UMCG researchers MLL team One associate professor, two postdocs and six PhD students,
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Example 1 MR Mammo Tumor Detection
T1_pre T1_post DWI Twist Twist_early Twist_later T1 Composite image Exam 1 Exam 2 Diagram illustrates the generation of composite images SLIDE COURTESY XEUPING JING, PhD
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Example 1 - MR Mammo Tumor Detection
Three different cases and corresponding heatmaps generated by gradCAM. SLIDE COURTESY XEUPING JING, PhD
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Example 2 - Mandible Segmentation CT
Machine Learning/Deep Learning Qiu et al. Phys Med Biol 2019;64(17):175020 SLIDE COURTESY BINGJIANG QIU, PHD
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Example 3 - Synthetic imaging (GAN)
MR Synth CT Real CT Difference SLIDE COURTESY BINGJIANG QIU, PHD
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DASH Challenges Availability of data
. DASH UMCG’s Data Science Center in Health Challenges Availability of data Obtaining correct annotation/labeling Integration of AI/Data Science into the clinical workflow Quality control of AI tools Acceptance of new tools by the user
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. DASH UMCG’s Data Science Center in Health Looking for… Collaboration with health professionals and researchers Collaborations with private partner / businesses Co-creation Incubator Implementation partner AI-related innovations
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