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| http://dx.doi.org/10.1186/s13756-022-01195-8 | DOI Listing |
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Reducing Postbreast Reconstruction Infection Rates: Our Journey to Achieving Low Postoperative Infection Outcomes.
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Introduction: Breast surgeries are classified as clean procedures associated with a lower risk of post-operative infections; however, the reported infection rates post-breast surgeries are still significantly high. Surgical site infections (SSIs) are indeed one of the most common and serious complications following breast surgery.
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Near-infrared enhanced silicon single-photon avalanche diodes (Si-SPADs) are widely used as detectors for 1064-nm aerosol lidars. However, Si-SPADs suffer from afterpulse miscounts. The superconducting nanowire single-photon detector (SNSPD) exhibits high QE and negligible rate of afterpulse miscounts.
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Author Correction: Clinical and radiographic comparison of primary molar pulpotomy using formocresol, portland cement, and NeoMTA plus: a randomized controlled clinical trial.
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Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.
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Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MPXA-2000) in lesion detection and quantification using manual QCA as the reference standard, and to demonstrate its superiority over visual estimation. This multi-center retrospective study analyzed 1,076 coronary angiography images obtained from 420 patients, comparing AI-QCA and visual estimation against manual QCA as the reference standard.
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