Ola Björnsson

No ORCID on file · 4 papers in corpus · active 2024-2026

Study types

  • article 3
  • other 1

Condition tags

  • adenomyosis 4
  • endometriosis 3
  • dysmenorrhea 1
  • dyspareunia 1
other 2026
Machine learning prediction of live birth after IVF using the morphological uterus sonographic assessment group features of adenomyosis
Scientific reports ·doi:10.1038/s41598-025-31013-1

UNLABELLED: Predicting live birth after the first IVF/ICSI treatment is challenging, as many factors may interact to affect IVF/ICSI outcomes. Adenomyosis is one factor that impacts live birth rates. Machine learning algorithms have been sh…

article 2024
OC11.04: Direct MUSA features of adenomyosis impact live birth rates after first in vitro fertilization / intracytoplasmic sperm injection treatment
·doi:10.1002/uog.27797

To determine the cumulative live birth rate (CLBR) after the first in vitro fertilization (IVF) or Intracytoplasmic sperm injection (ICSI) treatment in women with or without direct features of adenomyosis, using the revised Morphological Ut…

article 2024
OC11.06: Indirect MUSA features of adenomyosis are associated with reduced chances of live birth after first in vitro fertilization treatment
·doi:10.1002/uog.27799

To determine the cumulative live birth rate (CLBR) after the first in vitro fertilization (IVF) treatment in women without direct features, but with or without indirect features of adenomyosis, described using the revised Morphological Uter…

article 2024
OP11.06: The predictive value of MUSA features of adenomyosis on live birth is poor, using a machine learning algorithm
·doi:10.1002/uog.27964

To determine the predictive value of Morphological Uterus Sonographic Assessment (MUSA) group features of adenomyosis on cumulative live birth (CLB) after the first in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) tre…