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Machine Learning in Cardiovascular Medicine addresses the
ever-expanding applications of artificial intelligence (AI),
specifically machine learning (ML), in healthcare and within
cardiovascular medicine. The book focuses on emphasizing ML for
biomedical applications and provides a comprehensive summary of the
past and present of AI, basics of ML, and clinical applications of
ML within cardiovascular medicine for predictive analytics and
precision medicine. It helps readers understand how ML works along
with its limitations and strengths, such that they can could
harness its computational power to streamline workflow and improve
patient care. It is suitable for both clinicians and engineers;
providing a template for clinicians to understand areas of
application of machine learning within cardiovascular research; and
assist computer scientists and engineers in evaluating current and
future impact of machine learning on cardiovascular medicine.
3D Printing Applications in Cardiovascular Medicine addresses the
rapidly growing field of additive fabrication within the medical
field, in particular, focusing on cardiovascular medicine. To date,
3D printing of hearts and vascular systems has been largely
reserved to anatomic reconstruction with no additional
functionalities. However, 3D printing allows for functional,
physiologic and bio-engineering of products to enhance diagnosis
and treatment of cardiovascular disease. This book contains the
state-of-the-art technologies and studies that demonstrate the
utility of 3D printing for these purposes.
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