描述
This collection presents the proceedings from the inaugural International Workshop focusing on the intersection of machine learning, medical engineering, and cardiovascular health. Experts from diverse fields gather to discuss advances and challenges in intravascular imaging and computer-assisted stenting, aiming to enhance patient outcomes through innovative technology.
Contributors share their latest research findings, emphasizing the significant role that machine learning plays in analyzing complex medical data and improving diagnostic processes. The book highlights various methodologies and tools that leverage artificial intelligence to drive advancements in medical imaging and stent placement.
With contributions from leading researchers, this work serves as a valuable resource for professionals and academics interested in the future of medical engineering. It fosters collaboration among disciplines, promoting a deeper understanding of how technology can transform cardiovascular health care practices.
Contributors share their latest research findings, emphasizing the significant role that machine learning plays in analyzing complex medical data and improving diagnostic processes. The book highlights various methodologies and tools that leverage artificial intelligence to drive advancements in medical imaging and stent placement.
With contributions from leading researchers, this work serves as a valuable resource for professionals and academics interested in the future of medical engineering. It fosters collaboration among disciplines, promoting a deeper understanding of how technology can transform cardiovascular health care practices.
书籍详情
格式
Kindle
页数
391 页
语言
英语
已发布
Oct 12, 2019
出版商
Springer