A generalized AI system for human embryo selection covering the entire IVF cycle via multi-modal contrastive learning.

fertilization (IVF) has revolutionized infertility treatment, benefiting millions of couples worldwide. However, current clinical practices for embryo selection rely heavily on visual inspection of morphology, which is highly variable and experience dependent. Here, we propose a comprehensive artificial intelligence (AI) system that can interpret embryo-developmental knowledge encoded in vast unlabeled multi-modal datasets and provide personalized embryo selection.

Impact of the COVID-19 pandemic on congenital diaphragmatic hernia patients: a single-center retrospective study.

Purpose: To investigate the impact of COVID-19 on the treatment of children with congenital diaphragmatic hernia (CDH).

Methods: We retrospectively collected and compared the data of patients with CDH admitted between January 1, 2020 and December 31, 2021(study group) with the CDH patients admitted before the pandemic between January 1, 2018 and December 31, 2019 (control group).

Results: During the pandemic, 41 patients with CDH diagnosed prenatally were transferred to our hospital, and 40 underwent surgical repair.

Recommendations for perinatal and neonatal surgical management during the COVID-19 pandemic.

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 has spread rapidly around the world and is a significant threat to global health. Patients in the Neonatal Surgery Department have rapidly progressing diseases and immature immunity, which makes them vulnerable to pulmonary infection and a relatively higher mortality. This means that these patients require multidisciplinary treatment including early diagnosis, timely transport, emergency surgery and intensive critical care.