EVALUATION OF THE COMBINATION OF ARTIFICIAL INTELLIGENCE AND RADIOLOGIST ASSESSMENTS TO INTERPRET MALIGNANT ARCHITECTURAL DISTORTION ON MAMMOGRAPHY

Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography

PurposeTo DildoHarness compare the mammographic malignant architectural distortion (AD) detection performance of radiologists who read mammographic examinations unaided versus those who read these examinations with the support of artificial intelligence (AI) systems.Material and MethodsThis retrospective case-control study was based on a double-rea

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Higher PEEP improves outcomes in ARDS patients with clinically objective positive oxygenation response to PEEP: a systematic review and meta-analysis

Abstract Background Mortality in patients with acute respiratory Black Seed Oil distress syndrome (ARDS) remains high.These patients require mechanical ventilation strategies that include high positive end-expiratory pressure (PEEP).It remains controversial whether high PEEP can improve outcomes for ARDS patients, especially patients who show impro

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MLCM: Multi-Label Confusion Matrix

Concise and unambiguous assessment of a machine learning algorithm is key to classifier design and performance improvement.In the multi-class classification task, where each instance can only be labeled as one class, the confusion matrix is a powerful tool for performance assessment by quantifying the classification overlap.However, in the multi-la

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Valorization of the Hydrolate Byproduct from the Industrial Extraction of Purple Alium sativum Essential Oil as a Source of Nematicidal Products

The hydrolate byproduct resulting from the industrial essential GABA oil extraction of Spanish purple garlic has been studied against the root-knot nematode Meloidogyne javanica by in vitro and in vivo bioassays.The essential oil, the hydrolate and its organic fraction caused high mortality of juveniles, suppressed egg hatch, and reduced nematode i

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