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Objective: Although remarkable strides have been made in fetal medicine and the prenatal diagnosis of congenital heart disease, around 60% of newborns with isolated coarctation of the aorta (CoA) are not identified prior to birth. The prenatal detection of CoA has been shown to have a notable impact on survival rates of affected infants. To this end, implementation of artificial intelligence (AI) in fetal ultrasound may represent a groundbreaking advance. We aimed to investigate whether the use of automated cardiac biometric measurements with AI during the 18–22‐week anomaly scan would enhance the identification of fetuses that are at risk of developing CoA. Methods: We developed an AI model capable of identifying standard cardiac planes and conducting automated cardiac biometric measurements. Our data consisted of pregnancy ultrasound image and outcome data spanning from 2008 to 2018 and collected from four distinct regions in Denmark. Cases with a postnatal diagnosis of CoA were paired with healthy controls in a ratio of 1:100 and matched for gestational age within 2 days. Cardiac biometrics obtained from the four‐chamber and three‐vessel views were included in a logistic regression‐based prediction model. To assess its predictive capabilities, we assessed sensitivity and specificity on receiver‐operating‐characteristics (ROC) curves. Results: At the 18–22‐week scan, the right ventricle (RV) area and length, left ventricle (LV) diameter and the ratios of RV/LV areas and main pulmonary artery/ascending aorta diameters showed significant differences, with Z‐scores above 0.7, when comparing subjects with a postnatal diagnosis of CoA (n = 73) and healthy controls (n = 7300). Using logistic regression and backward feature selection, our prediction model had an area under the ROC curve of 0.96 and a specificity of 88.9% at a sensitivity of 90.4%. Conclusions: The integration of AI technology with automated cardiac biometric measurements obtained during the 18–22‐week anomaly scan has the potential to enhance substantially the performance of screening for fetal CoA and subsequently the detection rate of CoA. Future research should clarify how AI technology can be used to aid in the screening and detection of congenital heart anomalies to improve neonatal outcomes. © 2024 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology. Linked article: There is a comment on this article by Drukker. Click here to view the Editorial. [ABSTRACT FROM AUTHOR]

Background: Self-directed learning has been well described in preclinical settings. However, studies report conflicting results when self-directed initiatives are implemented in clinical clerkships. Aim: To explore the feasibility of self-directed learning stimulated by clinical encounter-cards (CECs) in clinical clerkships. Methods: Two focus groups of year-four and year-five students were interviewed about the usefulness of CECs to their learning in clerkships. The CECs were then introduced in two cohorts of 248 year-four and 250 year-five medical students and evaluated on a nine-point scale with regard to usefulness and feasibility. Results: The pilot groups reported that the CECs had positive effects in terms of engaging in diagnostic reasoning, reflection on management plans, and professional identity formation. However, the two large cohorts of students rated the usefulness of the CECs on learning in clerkship low (year-four: mean 2.92, SD 1.54; year-five: mean 2.28, SD 1.06) along with preceptor support (year-four: mean 2.68, SD 1.62; year-five: mean 2.59, SD 1.78, p = 0.34). Conclusion: Self-directed CECs can have a positive effect on participation and clinical reasoning but are highly dependent on the context of use. Self-directed learning initiatives that aim to increase participation in communities of practice may not be feasible without major faculty development initiatives. [ABSTRACT FROM AUTHOR]

Objective: Exploring associations between antenatal detection of fetal growth restriction (FGR) and adverse outcome., Design: Retrospective, observational, register-based study., Setting: Zealand, Denmark., Population or Sample: Children born from 1 September 2012 to 31 August 2015., Methods: Diagnoses from birth until 1 January 2018 were retrieved from The National Patient Registry. Detection was defined as estimated fetal weight less than the 2.3rd centile. Cox regression was used to associate detection status with the hazard rate of adverse outcome, adjusted for fetal weight deviation, maternal age, ethnicity, body mass index and smoking., Main Outcome Measures: Adverse neonatal outcome, adverse neuropsychiatric outcome, respiratory disorders, endocrine disorders, gastrointestinal/urogenital disorders., Results: A total of 2425 FGR children were included. An association was found for gastrointestinal/urogenital disorders (hazard ratio [HR] 1.68, 95% CI 1.26-2.23, P < 0.001) and respiratory disorders (HR 1.22, 95% CI 1.02-1.46, P = 0.03) in detected versus undetected infants. For adverse neuropsychiatric outcome, HR was 1.32 (95% CI 1.00-1.75, P = 0.05). There was no evidence of an association between detection and adverse neonatal outcome (HR 1.00, 95% CI 0.62-1.61, P = 0.99) and endocrine disorders (HR 1.39, 95% CI 0.88-2.19, P = 0.16). Detected infants were smaller (median -28% versus -25%, P < 0.0001), more often born preterm (odds ratio [OR] 4.15, 3.12-5.52, P < 0.0001) and more often born after induction or caesarean section (OR 5.19, 95% CI 4.13-6.51, P < 0.0001). Stillbirth risk was increased in undetected FGR fetuses (OR 2.63, 95% CI 1.37-5.04, P = 0.004)., Conclusions: We found an association between detection of FGR and risk of adverse childhood conditions, possibly caused by prematurity. Iatrogenic prematurity may be inevitable in stillbirth prevention, but is accompanied by a risk of long-term childhood conditions., Tweetable Abstract: Antenatal detection of growth-restricted fetuses is associated with adverse childhood outcomes but fewer intrauterine deaths., (© 2020 Royal College of Obstetricians and Gynaecologists.)

Simulation-based medical education (SBME) has become a cornerstone in technical skills training. SBME is associated with large effects on trainees' learning and behaviours in the clinical setting but has proven difficult to adopt and implement for all relevant technical procedures. This is a review of evidence-based principles for effective learning in the simulated setting, and based on these, some of the challenges associated with the successful implementation of SBME for different types of technical skills training in Denmark are discussed.

Purpose: To collect validity evidence for the assessment of mastery learning on a virtual reality transabdominal ultrasound simulator., Materials and Methods: We assessed the validity evidence using Messick's framework for validity. The study included 20 novices and 9 ultrasound experts who all completed 10 obstetric training modules on a transabdominal ultrasound simulator that provided automated measures of performance for each completed module (i. e., simulator metrics). Differences in the performance of the two groups were used to identify simulator metrics with validity evidence for the assessment of mastery learning. The novices continued to practice until they had attained mastery learning level., Results: One-third of the simulator metrics discriminated between the two groups. The median simulator scores from a maximum of 40 metrics were 17.5 percent (range 0 - 45.0 percent) for novices and 90.0 percent (range 85.0 - 97.5) for experts, p < 0.001. Internal consistency was high, with a Cronbach's alpha value of 0.98. The test/retest reliability gave an intra-class correlation coefficient (ICC) of 0.62 for novices who reached the mastery learning level twice. Novices reached the mastery learning level within a median of 4 attempts (range 3 - 8) corresponding to a median of 252 minutes of simulator training (range 211 - 394 minutes)., Conclusion: This study found that validity evidence for the assessment of mastery learning in simulation-based ultrasound training can be demonstrated and that ultrasound novices can attain mastery learning levels with less than 5 hours of training. Only one-third of the standard simulator metrics discriminated between different levels of competence., (© Georg Thieme Verlag KG Stuttgart · New York.)

Objective: To study the effect of initial simulation-based transvaginal sonography (TVS) training compared with clinical training only, on the clinical performance of residents in obstetrics and gynecology (Ob-Gyn), assessed 2 months into their residency., Methods: In a randomized study, new Ob-Gyn residents (n = 33) with no prior ultrasound experience were recruited from three teaching hospitals. Participants were allocated to either simulation-based training followed by clinical training (intervention group; n = 18) or clinical training only (control group; n = 15). The simulation-based training was performed using a virtual-reality TVS simulator until an expert performance level was attained, and was followed by training on a pelvic mannequin. After 2 months of clinical training, one TVS examination was recorded for assessment of each resident's clinical performance (n = 26). Two ultrasound experts blinded to group allocation rated the scans using the Objective Structured Assessment of Ultrasound Skills (OSAUS) scale., Results: During the 2 months of clinical training, participants in the intervention and control groups completed an average ± SD of 58 ± 41 and 63 ± 47 scans, respectively (P = 0.67). In the subsequent clinical performance test, the intervention group achieved higher OSAUS scores than did the control group (mean score, 59.1% vs 37.6%, respectively; P < 0.001). A greater proportion of the intervention group passed a pre-established pass/fail level than did controls (85.7% vs 8.3%, respectively; P < 0.001)., Conclusion: Simulation-based ultrasound training leads to substantial improvement in clinical performance that is sustained after 2 months of clinical training. © 2015 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology., (© 2015 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.)

Objective: To explore the association between clinical training characteristics and trainees' level of confidence in performing ultrasound scans independently., Methods: A cross-sectional e-survey was distributed to members of the national societies of junior obstetricians/gynecologists in Denmark, Sweden and Norway (n = 973). Multiple linear regression models were used to explore the effect that amount of time spent in specialized ultrasound units and clinical experience had on trainees' confidence in performing ultrasonography independently. Exploratory factor analysis was used to identify factors that contributed to trainees' confidence in performing ultrasonography. Trainees' ultrasound confidence was finally compared with their expected levels of performance., Results: Of the 682 respondents (response rate 70.1%), 621 met the inclusion criteria. Clinical experience and time spent in specialized ultrasound units were predictors of trainees' confidence in performing ultrasonography independently (P < 0.001). Trainees required more than 24 months of clinical experience and 12-24 days of training in specialized ultrasound units in order to feel confident about performing transvaginal and transabdominal ultrasound scans independently. Three factors were related to ultrasound confidence: technical aspects, image perception and integration of scan into patient care. There were significant differences between trainees' level of confidence and their expected levels of performance (P < 0.001)., Conclusions: Clinical experience and time spent in specialized ultrasound units were predictors of trainees' confidence in performing ultrasonography independently. Discrepancies between trainees' confidence and their expected levels of performance raised concerns about the adequacy of current ultrasound training programs., (Copyright © 2013 ISUOG. Published by John Wiley & Sons Ltd.)