Funded Projects for Artificial Intelligence, Machine Learning, and Deep Learning

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Grant Number Project Title Principal Investigator Institution
1-R21-EB034075-01A1 Deep Learning Assisted Scoring of Point of Care Lung Ultrasound for Acute Decompensated Heart Failure in the Emergency Department Tina Kapur Brigham And Women'S Hospital
5-R21-EB031185-03 Deep Learning Reconstruction for Rapid Multi-Component Relaxometry Fang Liu Massachusetts General Hospital
1-R01-EB034249-01 Deep learning technologies for estimating the optimal task performance of medical imaging systems Mark Anastasio University of Illinois at Urbana-Champaign
5-R03-EB032793-02 Deep Learning-Enabled Arterial Pulse Waveform Analysis Approach to Peripheral Artery Disease Diagnosis Jin-Oh Hahn Univ of Maryland, College Park
5-R01-EB004640-15 Deep LOGISMOS Milan Sonka University of Iowa
2-R56-EB004640-16 Deep LOGISMOS Milan Sonka University of Iowa
5-K08-EB026500-03 Development of Accurate and Interpretable Machine Learning Algorithms for their application in Medicine Gilmer Valdes University of California, San Francisco
5-R21-EB029493-03 Development of quantitative tools to predict patients with difficult intubation to minimize treatment related complications Muhammad Khalid Khan Niazi Wake Forest University Health Sciences
5-R01-EB030130-02 Development of Software to Rapidly Assess Placenta Images at Birth Alison Gernand Pennsylvania State University, The
2-R01-EB017095-10 Diagnostic performance assessment and dose optimization using patient CT images: Application to deep-learning CT reconstruction and denoising technologies Cynthia Mccollough Mayo Clinic Rochester