Explainable artificial intelligence for human-machine interaction in brain tumor localization

Primary malignancies in adult brains are globally fatal. Computer vision, especially recent developments in artificial intelligence (AI), have created opportunities to automatically characterize and diagnose tumor lesions in the brain. AI approaches have provided scores of unprecedented accuracy in different image analysis tasks, including differentiating tumor-containing brains from healthy brains. AI models, however, perform as a black box, concealing the rational interpretations that are an essential step towards translating AI imaging tools into clinical routine. An explainable AI approach aims to visualize the high-level features of trained models or integrate into the training process. This study aims to evaluate the performance of selected deep-learning algorithms on localizing tumor lesions and distinguishing the lesion from healthy regions in magnetic resonance imaging contrasts. Despite a significant correlation between classification and lesion localization accuracy (R = 0.46, p = 0.005), the known AI algorithms, examined in this study, classify some tumor brains based on other non-relevant features. The results suggest that explainable AI approaches can develop an intuition for model interpretability and may play an important role in the performance evaluation of deep learning models. Developing explainable AI approaches will be an essential tool to improve human–machine interactions and assist in the selection of optimal training methods.publishedVersio

Infant tidal flow–volume parameters and arousal state

This version is distributed under the terms of the Creative Commons Attribution NonCommercial Licence 4.0. For commercial reproduction rights and permissions contact: [email protected]: Infant lung function can be assessed with tidal flow–volume (TFV) loops. While TFV loops can be measured in both awake and sleeping infants, the influence of arousal state in early infancy is not established. The aim of the present study was to determine whether TFV loop parameters in healthy infants differed while awake compared to the sleeping state at 3 months of age. Methods: From the population-based Scandinavian Preventing Atopic Dermatitis and ALLergies in children (PreventADALL) birth cohort, 91 infants had reproducible TFV loops measured with Exhalyzer® D in both the awake and sleeping state at 3 months of age. The TFV loops were manually selected according to a standardised procedure. The ratio of time to peak tidal expiratory flow (tPTEF) to expiratory time (tE) and the corresponding volume ratio (VPTEF/VE), as well as tidal volume (VT) and respiratory rate were compared using nonparametric tests. Results: The mean (95% CI) tPTEF/tE was significantly higher while awake compared to the sleeping state: 0.39 (0.37–0.41) versus 0.28 (0.27–0.29); with the corresponding VPTEF/VE of 0.38 (0.36–0.40) versus 0.29 (0.28–0.30). The VT was similar, while the respiratory rate was higher while awake compared to the sleeping state: 53 (51–56) breaths·min−1 versus 38 (36–40) breaths·min−1 . Conclusion: Higher tPTEF/tE, VPTEF/VE and respiratory rate, but similar VT while awake compared to the sleeping state suggests that separate normative TFV loop values according to arousal state may be required in early infancy.publishedVersio

Eosinophil-derived neurotoxin levels in early childhood and association with preschool asthma – A prospective observational study

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Fetal thoracic circumference in mid-pregnancy and infant lung function

This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.Background and Aim: Impaired lung function in early infancy is associated with later wheeze and asthma, while fetal thoracic circumference (TC) predicts severity of neonatal lung hypoplasia. Exploring fetal origins of lung function in infancy, we aimed to determine if fetal TC in mid‐pregnancy was associated with infant lung function. Methods: From the prospective Scandinavian general population‐based PreventADALL mother–child birth cohort, all 851 3‐month‐old infants with tidal flow‐volume measurements in the awake state and ultrasound fetal size measures at 18 (min–max 16–22) weeks gestational age were included. Associations between fetal TC and time to peak tidal expiratory flow to expiratory time (tPTEF/tE) were analyzed in linear regression models. To account for gestational age variation, we adjusted TC for simultaneously measured general fetal size, by head circumference (TC/HC), abdominal circumference (TC/AC), and femur length (TC/FL). Multivariable models were adjusted for maternal age, maternal asthma, pre‐pregnancy body mass index, parity, nicotine exposure in utero, and infant sex. Results: The infants (47.8% girls) were born at mean (SD) gestational age of 40.2 (1.30) weeks. The mean (SD) tPTEF/tE was 0.39 (0.08). The mean (SD) TC/HC was 0.75 (0.04), TC/AC 0.87 (0.04), and TC/FL 4.17 (0.26), respectively. Neither TC/HC nor TC/AC were associated with infant tPTEF/tE while a week inverse association was observed between TC/FL and tPTEF/tE (β ^ = −0.03, 95% confidence interval [−0.05, −0.007], p = 0.01). Conclusion: Mid‐pregnancy fetal TC adjusted for fetal head or abdominal size was not associated with tPTEF/tE in healthy, awake 3‐month‐old infants, while a weak association was observed adjusting for fetal femur length.publishedVersio

Eczema distribution in girls and boys during infancy: A cohort study on atopic dermatitis

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The skin microbiome in the first year of life and its association with atopic dermatitis

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Fecal Microbiota Nutrient Utilization Potential Suggests Mucins as Drivers for Initial Gut Colonization of Mother-Child-Shared Bacteria

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Gut bacteria at 6 months of age are associated with immune cell status in 1-year-old children

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Birth mode is associated with development of atopic dermatitis in infancy and early childhood

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Fetal thoracic circumference and lung volume and their rlation to fetal size and pulmonary artery blood flow

Objective: Research on early origins of lung disease suggests the need for studying the relationships of thoracic and lung size with fetal size and pulmonary circulation. The primary aim of this study is therefore to explore the associations between fetal thoracic circumference, lung volume, and fetal size. We also aim to assess if lung volume and thoracic circumference are associated with fetal pulmonary artery blood flow velocity measures. Methods: Cross-sectional assessment of singleton pregnancies from the general population (n = 447) at 30 gestational weeks (GW) was performed using ultrasound measurement of fetal thoracic circumference, lung volume, head and abdominal circumference, and femur length. We obtained Doppler blood flow velocity measures from the proximal branches of the fetal pulmonary artery. Associations between variables were studied using Pearson's correlation and multiple linear regression analyses. Results: Both thoracic circumference and lung volume correlated with fetal size measures, ranging from r = 0.64 between thoracic circumference and abdominal circumference, to r = 0.28 between lung volume and femur length. Adjustment for gestational age, maternal nicotine use, pre-pregnancy body mass index, and fetal sex marginally influenced the associations with abdominal circumference. The correlations of thoracic circumference and lung volume with pulmonary artery blood flow velocity measures were weak (r ≤ 0.17). Conclusion: We found moderate to low correlation between thoracic circumference, lung volume, and fetal size at 30 GW. The closest relationship was with the abdominal circumference. We found low correlations of thoracic circumference and lung volume with pulmonary artery blood flow velocity measures.publishedVersio