Showing 201 - 220 results of 433 for search 'T36 (classification)', query time: 0.06s Refine Results
  1. 201
  2. 202

    А method of surgical correction of genital prolapse in combination with elongation and cicatricial deformation of the cervix in patients of reproductive age. A retrospective study by Albina Kh. Karanasheva, Yulia E. Dobrokhotova

    Published 2024-12-01
    “…The study included 43 patients with genital prolapse of grades I–II according to the POP-Q classification in combination with elongation and cicatricial deformation of the cervix. …”
    Get full text
    Article
  3. 203
  4. 204
  5. 205
  6. 206
  7. 207
  8. 208

    Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

    Published 2025-02-01
    “…Conclusion This AI-based web application addresses the limitations of previous diagnostic techniques by automatically analyzing medical images for the classification, segmentation, and calculation of T-scores. …”
    Get full text
    Article
  9. 209

    Most prevalent jobs of young master’s degree graduates by detailed field of study by Marc Frenette, Tomasz Handler

    Published 2024-08-01
    “…Note that the intention is to show the five most prevalent jobs based on the five-digit 2021 National Occupational Classification (NOC 2021) code for each six-digit 2021 Classification of Instructional Programs (CIP 2021) code, but some results had to be suppressed. …”
    Get full text
    Article
  10. 210

    RGB Pixel Brightness Characteristics of Linked Color Imaging in Early Gastric Cancer: A Pilot Study by Xue Sun, Li Zhao

    Published 2020-01-01
    “…Pixel brightness of red, green, and blue in cancer was remarkably higher than those in noncancer areas (190.24±37.10 vs. 160.00±40.35, p<0.001; 117.96±33.91 vs. 105.33±30.01, p=0.039; 114.36±34.88 vs. 90.93±30.14, p<0.001, respectively). …”
    Get full text
    Article
  11. 211

    Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results by Barbara Lizewska, Joanna Teul, Pawel Kuc, Adam Lemancewicz, Karol Charkiewicz, Joanna Goscik, Marian Kacerovsky, Ramkumar Menon, Wojciech Miltyk, Piotr Laudanski

    Published 2018-01-01
    “…In this retrospective case-control study, we have examined plasma of patient with preterm birth (between 22 and 36 weeks of pregnancy (n=57)), with threatened preterm labor (between 23 and 36 weeks of pregnancy (n=49)), and with term delivery (n=25). …”
    Get full text
    Article
  12. 212
  13. 213
  14. 214
  15. 215
  16. 216
  17. 217
  18. 218
  19. 219
  20. 220