Assessment of the quality of research and practice events using telemedicine technologies at the National Medical Research Center for Therapy and Preventive Medicine during the COV... by O. M. Drapkina, R. N. Shepel, S. Yu. Astanina, T. V. Vakhovskaya, T. V. Sapronova, T. V. Samoilov

“…Further, cluster analysis of the responses received was performed with subsequent scoring according to the cluster rank. …”
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Outcomes of lateral approach total knee replacement in the elderly cohort: A focused analysis on patients aged 80 and above by Michael Messieh, Steve Nguyen

“…The relationship between advanced age and the risk associated with TKR performed through a lateral approach, in an outpatient setting is evaluated. …”
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Evaluation of Pedicle Screw Position on Computerized Tomography Using Three-Dimensional Reconstruction Software by Jiwon Park, Jin S. Yeom, Yeonho Kim, Yoonjoong Hwang, Namkug Kim, Sang-Min Park

“…<i>Conclusions</i>: The developed software provides improved accuracy and reliability in pedicle screw position evaluation through distinct screw outline visualization and metal artifact reduction. Its equipment-independent nature and cost-effectiveness make it particularly valuable for clinical implementation.…”
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Dual-energy computed tomography may reduce delayed diagnosis of occult hip fractures: Experiences at a single center by Hirotaka Kawakami, Hiromi Sasaki, Junichi Kamizono, Yuki Yasutake, Kana Yamada, Suguru Saho, Takehiro Kawauchi, Noboru Taniguchi

“…Magnetic resonance imaging was performed in all cases. A trained musculoskeletal radiologist interpreted the dual-energy computed tomography and magnetic resonance imaging scans, which were then reviewed by two senior orthopedic surgeons. …”
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Scalable AI-driven air quality forecasting and classification for public health applications by Mohammad Wasil Jalali, Bahir Saidi, Habibullah Farahmand, Mohammad Aref Rezvan Panah, Eda Nur Saruhan

“…In classification tasks, the Random Forest model performed best with an accuracy of 99.96%, slightly outperforming XGBoost at 99.48%. …”
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Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation by Tristan Whitmarsh, Wei Cope, Julia Carmona-Bozo, Roido Manavaki, Stephen-John Sammut, Ramona Woitek, Elena Provenzano, Emma L. Brown, Sarah E. Bohndiek, Ferdia A. Gallagher, Carlos Caldas, Fiona J. Gilbert, Florian Markowetz

“…Using these segmentations, we investigated the relationship between the various tissue types and the vasculature and studied the relationship of various vascular parameters with clinical parameters. We also performed a 3D histology analysis on a separate tumour sample as a proof of principle, providing a more comprehensive visualization of vasculature morphology compared to the standard 2D cross-section of a tissue sample. …”
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