Author: Kusunose, Kenya
Title: Radiomics in Echocardiography: Deep Learning and Echocardiographic Analysis. Cord-id: ffumy6v4 Document date: 2020_7_9
ID: ffumy6v4
Snippet: PURPOSE OF REVIEW Recent development in artificial intelligence (AI) for cardiovascular imaging analysis, involving deep learning, is the start of a new phase in the research field. We review the current state of AI in cardiovascular field and discuss about its potential to improve clinical workflows and accuracy of diagnosis. RECENT FINDINGS In the AI cardiovascular imaging field, there are many applications involving efficient image reconstruction, patient triage, and support for clinical deci
Document: PURPOSE OF REVIEW Recent development in artificial intelligence (AI) for cardiovascular imaging analysis, involving deep learning, is the start of a new phase in the research field. We review the current state of AI in cardiovascular field and discuss about its potential to improve clinical workflows and accuracy of diagnosis. RECENT FINDINGS In the AI cardiovascular imaging field, there are many applications involving efficient image reconstruction, patient triage, and support for clinical decisions. These tools have a role to support repetitive clinical tasks. Although they will be powerful in some situations, these applications may have new potential in the hands of echo cardiologists, assisting but not replacing the human observer. We believe AI has the potential to improve the quality of echocardiography. Someday AI may be incorporated into the daily clinical setting, being an instrumental tool for cardiologists dealing with cardiovascular diseases.
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