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Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.
EClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
View Article and Find Full Text PDFMultiple time points of transcriptome analysis revealed altered genes involved in maintaining hibernation in the hypothalamus of .
Front Neurosci
December 2024
National Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, China.
Hibernation, an adaptive mechanism to extreme environmental conditions, is prevalent among mammals. Its main characteristics include reduced body temperature and metabolic rate. However, the mechanisms by which hibernating animals re-enter deep sleep during the euthermic phase to sustain hibernation remain poorly understood.
View Article and Find Full Text PDFThe guide extension-facilitated ostial stenting (GEST) technique uses a guide extension catheter (GEC) to improve stent delivery during primary coronary angioplasty (PCI). GECs are used for stent delivery into the coronary arteries of patients with difficult anatomy due to tortuosity, calcification, or chronic total occlusion (CTO) vessels. Stent and balloon placement has become challenging in patients with increasing lesion complexity due to tortuosity, vessel morphology, length of the lesion, and respiratory movements.
View Article and Find Full Text PDFBackground: Perivascular Spaces (PVS) are a marker of cerebral small vessel disease (CSVD) that are visible on brain imaging. Larger PVS has been associated with poor quality of life and cognitive impairment post-stroke. However, the association between PVS and post-stroke sensorimotor outcomes has not been investigated.
View Article and Find Full Text PDFFunctional imaging derived ADHD biotypes based on deep clustering: a study on personalized medication therapy guidance.
EClinicalMedicine
November 2024
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
Background: Attention deficit hyperactivity disorder (ADHD) is one prevalent neurodevelopmental disorder with childhood onset, however, there is no clear correspondence established between clinical ADHD subtypes and primary medications. Identifying objective and reliable neuroimaging markers for categorizing ADHD biotypes may lead to more individualized, biotype-guided treatment.
Methods: Here we proposed a graph convolution network for biological subtype detection (GCN-BSD) using both functional network connectivity (FNC) and non-imaging phenotypic data for ADHD biotype.
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