Automated 3D modeling of diseased livers using artificial intelligence
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The software extracts multimodal features such as contractility, calcium dynamics, and tissue force output, providing a comprehensive analysis of cardiac tissue. Research tool for studying cardiac tissue behavior and response. Streamlined, objective and automated analysis of cardiac models.
This technology is an imaging platform for the automated analysis of abnormalities in large tissue specimens that can be used to detect breast cancer and related diseases. These images are evaluated using deep-learning algorithms that can discriminate between areas of normal or potentially cancerous tissue. Research tool for studying tissue anatomy.
The Technology: Quantitative assessment of deep learning models to improve disease diagnosis. This technology is a method for quantifying the quality of artificial intelligence models and standardizing their application in clinical settings. However, there is a lack of standardization and methodology to evaluate if AI models meet specific robustness criteria and corroborate human experts.
- 10High-throughput screening
- 7Deep learning
- 5Liver
- 5Medical imaging
- 5Machine learning
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- 24Biology
- 24Branches of biology
- 15Anatomy
- 9Organs (anatomy)
- 9Pathology
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- 6Gordana Vunjak-Novakovic
- 4Binsheng Zhao
- 4Keith Yeager
- 4Larry Schwartz
- 3Kacey Ronaldson
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- 7Sara Gusik
- 6Cynthia Lang
- 5Dovina Qu
- 3Jerry Kokoshka
- 2Kristin Neuman
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- 16Biomedical Engineering
- 6Radiology
- 5Medicine
- 2Biomedical Informatics
- 2Psychiatry
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- 16Fu Foundation School of Engineering and Applied Science (SEAS)
- 15Columbia University Medical Center (CUMC)
- 4College of Physicians and Surgeons (CUMC)
- 1Faculty of the Arts & Sciences
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