首页|Egypt-Japan University of Science and Technology Reports Findings in Machine Lea rning (Minimization of occurrence of retained surgical items using machine learn ing and deep learning techniques: a review)
Egypt-Japan University of Science and Technology Reports Findings in Machine Lea rning (Minimization of occurrence of retained surgical items using machine learn ing and deep learning techniques: a review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Alexandria, Egypt, by NewsRx correspondents, research stated, “Retained surgical items (RSIs ) pose significant risks to patients and healthcare professionals, prompting ext ensive efforts to reduce their incidence. RSIs are objects inadvertently left wi thin patients’ bodies after surgery, which can lead to severe consequences such as infections and death.” Financial support for this research came from Egypt Japan University.
AlexandriaEgyptAfricaCyborgsEmer ging TechnologiesHealth and MedicineMachine Learning
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