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Artificial intelligence in computed tomography for quantifying lung changes in the era of CFTR modulators.
The European respiratory journal
Mar 3, 2022
BACKGROUND: Chest computed tomography (CT) remains the imaging standard for demonstrating cystic fibrosis (CF) airway structural disease . However, visual scoring systems as an outcome measure are time consuming, require training and lack high reprod...
Defining Normal Ranges of Skeletal Muscle Area and Skeletal Muscle Index in Children on CT Using an Automated Deep Learning Pipeline: Implications for Sarcopenia Diagnosis.
AJR. American journal of roentgenology
Mar 2, 2022
Skeletal muscle area (SMA), representing skeletal muscle cross-sectional area at the L3 vertebral level, and skeletal muscle index (SMI), representing height-normalized SMA, can serve as markers of sarcopenia. Normal SMA and SMI values have been rep...
Automatic detection of passing and shooting in water polo using machine learning: a feasibility study.
Sports biomechanics
Feb 28, 2022
There is currently no efficient way to quantify overhead throwing volume in water polo. Therefore, this study aimed to test the feasibility of a method to detect passes and shots in water polo automatically using inertial measurement units (IMU) and ...
Deep-learning model for predicting the survival of rectal adenocarcinoma patients based on a surveillance, epidemiology, and end results analysis.
BMC cancer
Feb 25, 2022
BACKGROUND: We collected information on patients with rectal adenocarcinoma in the United States from the Surveillance, Epidemiology, and EndResults (SEER) database. We used this information to establish a model that combined deep learning with a mul...
Classification of Electroencephalogram Signal for Developing Brain-Computer Interface Using Bioinspired Machine Learning Approach.
Computational intelligence and neuroscience
Feb 25, 2022
Transforming human intentions into patterns to direct the devices connected externally without any body movements is called Brain-Computer Interface (BCI). It is specially designed for rehabilitation patients to overcome their disabilities. Electroen...
Impact of Age and Sex on COVID-19 Severity Assessed From Radiologic and Clinical Findings.
Frontiers in cellular and infection microbiology
Feb 25, 2022
BACKGROUND: Data on the epidemiological characteristics and clinical features of COVID-19 in patients of different ages and sex are limited. Existing studies have mainly focused on the pediatric and elderly population.
Machine Learning-Based MRI LAVA Dynamic Enhanced Scanning for the Diagnosis of Hilar Lesions.
Computational and mathematical methods in medicine
Feb 24, 2022
OBJECTIVE: To explore the value of machine learning-based magnetic resonance imaging (MRI) liver acceleration volume acquisition (LAVA) dynamic enhanced scanning for diagnosing hilar lesions.
Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning.
Scientific reports
Feb 23, 2022
Autism spectrum disorder (ASD) is the fourth most common neurodevelopmental disorder, with a prevalence of 1 in 160 children. Accurate diagnosis relies on experts, but such individuals are scarce. This has led to increasing interest in the developmen...
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease.
PloS one
Feb 23, 2022
Inflammatory bowel diseases (IBDs), including ulcerative colitis and Crohn's disease, affect several million individuals worldwide. These diseases are heterogeneous at the clinical, immunological and genetic levels and result from complex host and en...
Aged
Young Adult
Adult
Male
Middle Aged
Transcriptome
Adolescent
Genomics
Signal Transduction
Colitis, Ulcerative
Anti-Inflammatory Agents, Non-Steroidal
Naphthalenes
Crohn Disease
Prednisolone
Drug Evaluation, Preclinical
Mesalamine
Pyrazoles
Phenylurea Compounds
Humans
Machine Learning
Tumor Necrosis Factor-alpha
Precision Medicine
Female
Explaining the differences of gait patterns between high and low-mileage runners with machine learning.
Scientific reports
Feb 22, 2022
Running gait patterns have implications for revealing the causes of injuries between higher-mileage runners and low-mileage runners. However, there is limited research on the possible relationships between running gait patterns and weekly running mil...
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