首页|Sandro Pertini Hospital Reports Findings in Machine Learning (Intraoperative lef t-sided colorectal anastomotic testing in clinical practice: a multi-treatment m achine-learning analysis of the iCral3 prospective cohort)
Sandro Pertini Hospital Reports Findings in Machine Learning (Intraoperative lef t-sided colorectal anastomotic testing in clinical practice: a multi-treatment m achine-learning analysis of the iCral3 prospective cohort)
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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 originating from Rome, Italy, by NewsRx correspondents, research stated, "Current evidence about intraoperative anastom otic testing after left-sided colorectal resections is still controversial. The aim of this study was to analyze the impact of Indocyanine Green fluorescent ang iography (ICG-FA) and air-leak test (ALT) over standard assessment on anastomoti c leakage (AL) rates according to surgeon's perception of anastomosis perfusion and/or integrity in clinical practice."
RomeItalyEuropeColorectal ResearchCyborgsEmerging TechnologiesGastroenterologyHealth and MedicineMachine Learning
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