سال انتشار:
2021
عنوان انگلیسی مقاله:
Computer vision in surgery
ترجمه فارسی عنوان مقاله:
بینایی ماشین در جراحی
منبع:
Sciencedirect - Elsevier - Surgery, 169 (2021) 1253-1256: doi:10:1016/j:surg:2020:10:039
نویسنده:
Thomas M. Ward MD
چکیده انگلیسی:
The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid advancements
in the past decade, many of which have been applied to the analysis of intraoperative video. These
advances are driven by wide-spread application of deep learning, which leverages multiple layers of
neural networks to teach computers complex tasks. Prior to these advances, applications of AI in the
operating room were limited by our relative inability to train computers to accurately understand
images with traditional machine learning (ML) techniques. The development and refining of deep
neural networks that can now accurately identify objects in images and remember past surgical
events has sparked a surge in the applications of CV to analyze intraoperative video and has allowed
for the accurate identification of surgical phases (steps) and instruments across a variety of procedures. In some cases, CV can even identify operative phases with accuracy similar to surgeons. Future
research will likely expand on this foundation of surgical knowledge using larger video datasets and
improved algorithms with greater accuracy and interpretability to create clinically useful AI models
that gain widespread adoption and augment the surgeon’s ability to provide safer care for patients
everywhere.
قیمت: رایگان
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