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GTC ON-DEMAND

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Abstract:
Learn about the key types of clinical use cases for AI methods in medical imaging beyond image classification that will ultimately improve medical practice. We'll explain the critical challenges and progress in applying AI in these applications, and describe the types of medical imaging and the clinical applications for deep learning to improve image interpretation. We will also talk about recent AI projects that tackle the challenging problem of clinical prediction with innovative approaches that provide explanations about AI model predictions to improve clinician acceptance.
Learn about the key types of clinical use cases for AI methods in medical imaging beyond image classification that will ultimately improve medical practice. We'll explain the critical challenges and progress in applying AI in these applications, and describe the types of medical imaging and the clinical applications for deep learning to improve image interpretation. We will also talk about recent AI projects that tackle the challenging problem of clinical prediction with innovative approaches that provide explanations about AI model predictions to improve clinician acceptance.  Back
 
Topics:
AI in Healthcare, AI & Deep Learning Research
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9115
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Abstract:

Learn about the key types of clinical use cases for AI methods in medical imaging beyond simple image classification that will ultimately improve medical practice, as well as the critical challenges and progress in applying AI to these applications. We''ll first describe the types of medical imaging and the key clinical applications for deep learning for improving image interpretation. Next, we''ll describe recent developments of word-embedding methods to leverage narrative radiology reports associated with images to generate automatically rich labels for training deep learning models and a recent AI project that pushes beyond image classification and tackles the challenging problem of clinical prediction. We''ll also describe emerging methods to leverage multi-institutional data for creating AI models that do not require data sharing and recent innovative approaches of providing explanation about AI model predictions to improve clinician acceptance.

Learn about the key types of clinical use cases for AI methods in medical imaging beyond simple image classification that will ultimately improve medical practice, as well as the critical challenges and progress in applying AI to these applications. We''ll first describe the types of medical imaging and the key clinical applications for deep learning for improving image interpretation. Next, we''ll describe recent developments of word-embedding methods to leverage narrative radiology reports associated with images to generate automatically rich labels for training deep learning models and a recent AI project that pushes beyond image classification and tackles the challenging problem of clinical prediction. We''ll also describe emerging methods to leverage multi-institutional data for creating AI models that do not require data sharing and recent innovative approaches of providing explanation about AI model predictions to improve clinician acceptance.

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Topics:
AI in Healthcare, Medical Imaging & Radiology
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8295
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