Howard G. Smith MD, AM on Instagram: "AI Detects Newborn Brain Disease New York’s Mount Sinai neuroscientists call it Pose AI. Using video and EEG data, it analyses the random movements of just born babies in the NICU and capably predicts neurologic dysfunction and abnormal states of consciousness permitting clinicians to intervene earlier and more effectively. The system has been initially trained using some 16 million seconds of video from 115 infants, and additional training will no doubt continue to improve the PoseAI diagnostic accuracy. https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(24)00498-X/fulltext #neonate #neurology #ai #nicu"

0 likes, 0 comments - drhowardsmithreports on December 18, 2024: "AI Detects Newborn Brain Disease New York’s Mount Sinai neuroscientists call it Pose AI. Using video and EEG data, it analyses the random movements of just born babies in the NICU and capably predicts neurologic dysfunction and abnormal states of consciousness permitting clinicians to intervene earlier and more effectively. The system has been initially trained using some 16 million seconds of video from 115 infants, and additional training will no doubt continue to improve the PoseAI diagnostic accuracy. https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(24)00498-X/fulltext #neonate #neurology #ai #nicu".

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172 - 🔵 Managing Respiratory Distress Series - Episode 5 with Andy Niccol from Fisher & Paykel

Hello Friends 👋 In this insightful episode of our special podcast series on managing respiratory distress, we welcome Andy Niccol, General Manager for Respiratory Humidification at Fisher & Paykel Healthcare. Andy brings his 18 years of product design experience in the medical device industry to the table, discussing the challenges and breakthroughs in designing respiratory care devices for neonatal, pediatric, and adult patients. Andy delves into the complex process of product development, emp

POCUS in the Acutely Deteriorating Neonate

Dr Nadya Yousef is talking to us on POCUS in the acutely deteriorating neonate-Evidence and Approach on the 26th of April at 630pm Paris tomorrow. If you are a neonatal POCUS enthusiast, this is one not to miss. For registration https://us02web.zoom.us/meeting/register/tZEpf-yqqjwiHtFImWc094VcNuy...

Adverse maternal, fetal, and newborn outcomes among pregnant women with SARS-CoV-2 infection: an individual participant data meta-analysis

Introduction Despite a growing body of research on the risks of SARS-CoV-2 infection during pregnancy, there is continued controversy given heterogeneity in the quality and design of published studies. Methods We screened ongoing studies in our sequential, prospective meta-analysis. We pooled individual participant data to estimate the absolute and relative risk (RR) of adverse outcomes among pregnant women with SARS-CoV-2 infection, compared with confirmed negative pregnancies. We evaluated the risk of bias using a modified Newcastle-Ottawa Scale. Results We screened 137 studies and included 12 studies in 12 countries involving 13 136 pregnant women. Pregnant women with SARS-CoV-2 infection—as compared with uninfected pregnant women—were at significantly increased risk of maternal mortality (10 studies; n=1490; RR 7.68, 95% CI 1.70 to 34.61); admission to intensive care unit (8 studies; n=6660; RR 3.81, 95% CI 2.03 to 7.17); receiving mechanical ventilation (7 studies; n=4887; RR 15.23, 95% CI 4.32 to 53.71); receiving any critical care (7 studies; n=4735; RR 5.48, 95% CI 2.57 to 11.72); and being diagnosed with pneumonia (6 studies; n=4573; RR 23.46, 95% CI 3.03 to 181.39) and thromboembolic disease (8 studies; n=5146; RR 5.50, 95% CI 1.12 to 27.12). Neonates born to women with SARS-CoV-2 infection were more likely to be admitted to a neonatal care unit after birth (7 studies; n=7637; RR 1.86, 95% CI 1.12 to 3.08); be born preterm (7 studies; n=6233; RR 1.71, 95% CI 1.28 to 2.29) or moderately preterm (7 studies; n=6071; RR 2.92, 95% CI 1.88 to 4.54); and to be born low birth weight (12 studies; n=11 930; RR 1.19, 95% CI 1.02 to 1.40). Infection was not linked to stillbirth. Studies were generally at low or moderate risk of bias. Conclusions This analysis indicates that SARS-CoV-2 infection at any time during pregnancy increases the risk of maternal death, severe maternal morbidities and neonatal morbidity, but not stillbirth or intrauterine growth restriction. As more data become available, we will update these findings per the published protocol. No data are available. Individual patient data should be requested from the original or parent study investigators.