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The rising global incidence of cervical cancer is estimated to have affected more than 600,000 women, and nearly 350,000 women are predicted to have died from the disease in 2020 alone. Novel advances in cancer prevention, screening, diagnosis and treatment have all but reduced the burden of cervical cancer in developed nations. Unfortunately, cervical cancer is still the number one gynecological cancer globally. A limiting factor in managing cervical cancer globally is access to healthcare systems and trained medical personnel. Any methodology or procedure that may simplify or assist cervical cancer screening is desirable. Herein, we assess the use of artificial intelligence (AI)-assisted colposcopy in a tertiary hospital cervical diagnostic pathology unit. The study group consisted of 48 women (mean age 34) who were referred to the clinic for a routine colposcopy by their gynecologist. Cervical images were taken by an EVA-Visualcheck TM colposcope and run through an AI algorithm that gave real-time binary results of the cervical images as being either normal or abnormal. The primary endpoint of the study assessed the AI algorithm’s ability to correctly identify histopathology results of CIN2+ as being abnormal. A secondary endpoint was a comparison between the AI algorithm and the clinical assessment results. Overall, we saw lower sensitivity of AI (66.7%; 12/18) compared with the clinical assessment (100%; 18/18), and histopathology results as the gold standard. The positive predictive value (PPV) was comparable between AI (42.9%; 12/28) and the clinical assessment (41.8%; 18/43). The specificity, however, was higher in the AI algorithm (46.7%; 14/30) compared to the clinical assessment (16.7%; 5/30). Comparing the congruence between the AI algorithm and histopathology results showed agreement 54.2% of the time and disagreement 45.8% of the time. A trained colposcopist was in agreement 47.9% and disagreement 52.1% of the time. Assessing these results, there is currently no added benefit of using the AI algorithm as a tool of speeding up diagnosis. However, given the steady improvements in the AI field, we believe that AI-assisted colposcopy may be of use in the future.

Objectives: A novel coronavirus -SARS-CoV-2 -outbreak has, for sure, been the greatest medical challenge in recent years. The maternal and neonatal consequences of the infection are still largely unknown. Material and methods:This prospective study aims to describe the perinatal care and outcomes of SARS-CoV-2 positive pregnant women and their newborn infants during the third wave of the pandemic, in a large tertiary university center in Wroclaw/Poland from 15 February to 1 May 2021. Results:The paper describes a group of 83 women with confirmed SARS-CoV-2 infection during delivery, as well as their newborn infants (n = 84). The course of COVID-19 disease in pregnant patients was mostly asymptomatic (54.2%) but 31% women manifested mild to moderate symptoms and 14% had severe infection. The median gestational age at the delivery was 39 weeks. On average, 16.7% of mothers were separated from their newborns at birth, 83.3% practiced skin-to-skin, and roomed in with their babies, and 84.5% of the infants received any mother's milk. Preterm infants were more often born by mothers with symptomatic course of COVID-19 infection. Need for neonatal treatment was only due to prematurity. Neonates with acquired infection (after 14 th day of life) had to be treated symptomatically with fever and loose stools, only 28.5% had symptoms of respiratory failure.Conclusions: Despite the confirmed SARS-CoV-2 infection, the majority of mother-infant dyads were in a good health condition. The data on perinatal care reported in the paper could be helpful contribution supporting childbirth physiology protection during the COVID-19 pandemic.

Background Infection with SARS-CoV-2 during pregnancy can lead to a severe condition in the patient, which is challenging for obstetricians and anaesthesiologists. Upon severe COVID-19 and a lack of improvement after multidrug therapy and mechanical ventilation, extracorporeal membrane oxygenation (ECMO) is introduced as the last option. Such treatment is critical in women with very preterm pregnancy when each additional day of the intrauterine stay is vital for the survival of the newborn. Case presentation We report a case of a 38-year-old woman at 27 weeks of gestation treated with multidrug therapy and ECMO. The woman was admitted to the intensive care unit (ICU) with increasing fever, cough and dyspnoea. The course of the pregnancy was uncomplicated. She was otherwise healthy. At admission, she presented with severe dyspnoea, with oxygen saturation (SpO2) of 95% on passive oxygenation, heart rate of 145/min, and blood pressure of 145/90. After confirmation of SARS-CoV-2 infection, she received steroids, remdesivir and convalescent plasma therapy. The foetus was in good condition. No signs of an intrauterine infection were visible. Due to tachypnea of 40/min and SpO2 of 90%, the woman was intubated and mechanically ventilated. Due to circulatory failure, the prothrombotic activity of the coagulation system, further saturation worsening, and poor control of sedation, she was qualified for veno-venous ECMO. An elective caesarean section was performed at 29 weeks on ECMO treatment in the ICU. A preterm female newborn was delivered with an Apgar score of 7 and a birth weight of 1440 g. The newborn had no laboratory or clinical evidence of COVID-19. The placenta showed the following pathological changes: large subchorionic haematoma, maternal vascular malperfusion, marginal cord insertion, and chorangioma. Conclusions This case presents the successful use of ECMO in a pregnant woman with acute respiratory distress syndrome in the course of severe COVID-19. Further research is required to explain the aetiology of placental disorders (e.g., maternal vascular malperfusion lesions or thrombotic influence of COVID-19). ECMO treatment in pregnant women remains challenging; thus, it should be used with caution. Long-term assessment may help to evaluate the safety of the ECMO procedure in pregnant women.

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