Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases.

Objective: Segmentation of individual thigh muscles in MRI images is essential for monitoring neuromuscular diseases and quantifying relevant biomarkers such as fat fraction (FF). Deep learning approaches such as U-Net have demonstrated effectiveness in this field. However, the impact of reducing neural network complexity remains unexplored in the FF quantification in individual muscles.

Fostering Informed Consent and Shared Decision-Making in Maternity Nursing With the Advancement of Artificial Intelligence.

Artificial intelligence (AI), defined as algorithms built to reproduce human behavior, has various applications in health care such as risk prediction, medical image classification, text analysis, and complex disease diagnosis. Due to the increasing availability and volume of data, especially from electronic health records, AI technology is expanding into all fields of nursing and medicine. As the health care system moves toward automation and computationally driven clinical decision-making, nurses play a vital role in bridging the gap between the technological output, the patient, and the health care team.

Comparison of Graphites Intercalated with Fluorine as Slow Neutron Reflectors.

The use of neutron reflectors is an effective method for improving the quality of neutron sources and neutron delivery systems. In this work, we further develop the method based on the Bragg scattering of neutrons in crystals with large interplanar distances. We compare samples of differently prepared fluorine intercalated graphites by measuring the total cross section for the interaction of neutrons with the samples, depending on the neutron wavelength.

The path of least resistance: The unusual extradigestive journey of a nasogastric tube following oropharyngeal perforation.

Nasogastric tube placement is frequently performed in various medical settings. While generally deemed safe in patients without risk factors, complications may occur due to malposition, justifying the need of systematic confirmation of position with chest radiographs. We present the case of a critically ill male adult patient for whom the tube position was initially deemed very unusual on postinsertion radiographs, prompting further workup which ultimately confirmed an oropharyngeal perforation with a left parapharyngeal, left visceral, retrotracheal, and right retrodiaphragmatic course, and resulting in a recurrent pneumothorax and empyema treated by surgical decortication.

Exercise training may reduce fragmented mitochondria in the ischemic-reperfused heart through DRP1.

Mitochondrial fission is a key trigger of cardiac ischemia-reperfusion injuries (IR). Exercise training is an efficient cardioprotective strategy, but its impact on mitochondrial fragmentation during IR remains unknown. Using isolated rat hearts, we found that exercise training limited the activation of dynamin-like protein 1 and limited mitochondrial fragmentation during IR.