ABSTRACT
Medical Assisted Reproduction proved its efficacy to treat the vast majority forms of infertility. One of the key procedures in this treatment is the selection and transfer of the embryo with the highest developmental potential. To assess this potential, clinical embryologists routinely work with static images (morphological assessment) or short video sequences (time-lapse annotation). Recently, Artificial Intelligence models were utilized to support the embryo selection procedure. Even though they have proven their great potential in different in vitro fertilization settings, there is still considerable room for improvement. To support the advancement of algorithms in this research field, we built a dataset consisting of static blastocyst images and additional annotations. As such, Gardner criteria annotations, depicting a morphological blastocyst rating scheme, and collected clinical parameters are provided. The presented dataset is intended to be used to train deep learning models on static morphological images to predict Gardner's criteria and clinical outcomes such as live birth. A benchmark of human expert's performance in annotating Gardner criteria is provided.
Subject(s)
Artificial Intelligence , Blastocyst , Fertilization in Vitro , Humans , Benchmarking , Deep Learning , Female , PregnancyABSTRACT
OBJECTIVE: To study the influence of tumour necrosis factor (TNF) antagonists on spermatogenesis in a cohort of patients with spondyloarthritis (SpA). PATIENTS AND METHODS: Semen samples of 26 patients with SpA were analysed according to WHO 1999 guidelines with and without TNF blocking agents (infliximab, etanercept or adalimumab). RESULTS: were compared with semen samples of 102 healthy volunteers. Results Sperm abnormalities were found in 10/11 patients without anti-TNF therapy. The sperm of these 11 patients had significantly poorer motility (p=0.001) and vitality (p=0.001) than found in 15 patients tested during longstanding anti-TNF therapy, but sperm concentration and morphology were similar in the two groups. There was no significant difference of sperm quality between healthy controls and anti-TNF treated patients with SpA. Notably, sperm abnormalities were also found in 102 healthy controls. CONCLUSION: Sperm abnormalities are a common finding in healthy men, they are more pronounced in patients with active SpA. The sperm quality of patients with SpA with inactive disease receiving long-term TNF inhibition is comparable to that in healthy controls. The data support continuation of anti-TNF treatment when fatherhood is planned.