Publications by authors named "M Genc"
Background: Intraabdominal adhesions increase the incidence and length of surgical complications. Many anti-adhesive agents have been used for this purpose, but no definitive solution has yet been found. Studies on the prevention and reduction of anastomotic leakage, therefore, remain up to date.
View Article and Find Full Text PDFObjectives: Deep learning has revolutionized image analysis for dentistry. Automated segmentation of dental radiographs is of great importance towards digital dentistry. The performance of deep learning models heavily relies on the quality and diversity of the training data.
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- Researchers successfully integrated InAs/GaAs quantum dot lasers with an AlGaN/GaN-on-sapphire waveguide platform using micro-transfer printing.
- The design allows for easy alignment of the lasing modes with the passive waveguide modes, achieving a TE propagation loss of 4.5 dB/cm for 4 μm wide waveguides.
- This integration showcases the potential of GaN for photonics applications, with a coupled output power of 1.5 mW at 70°C and 100 mA, marking a significant advancement in laser integration technology.
Article Synopsis
- This study introduces a new method to assess the success of root canal fillings (RCF) using AI and image analysis.
- A total of 1121 teeth images were processed, and five advanced deep learning models were tested for their ability to segment RCFs, achieving high accuracy rates.
- The findings suggest that AI can provide reliable evaluations for root canal treatments, indicating its potential for enhancing dental practices.
Article Synopsis
- This study explores how inflammation affects outcomes in patients with ST-Elevation Myocardial Infarction (STEMI), specifically looking at in-hospital mortality and the modified Naples prognostic score (mNPS).
- The research included 2,576 STEMI patients and analyzed various inflammatory markers, finding that higher levels of these markers, particularly mNPS, were linked to increased in-hospital mortality.
- Results indicate that mNPS not only predicts in-hospital mortality more effectively than other inflammatory indices but also provides a net clinical benefit in assessing patient risk during hospitalization.