AIMC Topic: Young Adult
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Machine learning-based automated classification of headache disorders using patient-reported questionnaires.
Scientific reports
Aug 20, 2020
Classification of headache disorders is dependent on a subjective self-report from patients and its interpretation by physicians. We aimed to apply objective data-driven machine learning approaches to analyze patient-reported symptoms and test the fe...
Identifying resting-state effective connectivity abnormalities in drug-naïve major depressive disorder diagnosis via graph convolutional networks.
Human brain mapping
Aug 19, 2020
Major depressive disorder (MDD) is a leading cause of disability; its symptoms interfere with social, occupational, interpersonal, and academic functioning. However, the diagnosis of MDD is still made by phenomenological approach. The advent of neuro...
Visual perception of liquids: Insights from deep neural networks.
PLoS computational biology
Aug 19, 2020
Visually inferring material properties is crucial for many tasks, yet poses significant computational challenges for biological vision. Liquids and gels are particularly challenging due to their extreme variability and complex behaviour. We reasoned ...
A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea.
Medical & biological engineering & computing
Aug 17, 2020
A major challenge in big and high-dimensional data analysis is related to the classification and prediction of the variables of interest by characterizing the relationships between the characteristic factors and predictors. This study aims to assess ...
Predicting In-Hospital Mortality at Admission to the Medical Ward: A Big-Data Machine Learning Model.
The American journal of medicine
Aug 15, 2020
BACKGROUND: General medical wards admit high-risk patients. Artificial intelligence algorithms can use big data for developing models to assess patients' risk stratification. The aim of this study was to develop a mortality prediction machine learnin...
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.
Nature communications
Aug 14, 2020
Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of CT scans for differentiation of COVID-19 findings from other ...
COVID-19 Testing
Clinical Laboratory Techniques
Betacoronavirus
Pneumonia, Viral
Child, Preschool
Child
Imaging, Three-Dimensional
Radiographic Image Interpretation, Computer-Assisted
Coronavirus Infections
SARS-CoV-2
Aged
Aged, 80 and over
Young Adult
Adult
Male
Middle Aged
Lung
Deep Learning
Adolescent
Pandemics
COVID-19
Algorithms
Tomography, X-Ray Computed
Female
Humans
Artificial Intelligence
A multicenter mixed-effects model for inference and prediction of 72-h return visits to the emergency department for adult patients with trauma-related diagnoses.
Journal of orthopaedic surgery and research
Aug 14, 2020
OBJECTIVE: Emergency department (ED) return visits within 72 h may be a sign of poor quality of care and entail unnecessary use of healthcare resources. In this study, we compare the performance of two leading statistical and machine learning classif...
Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study.
AJNR. American journal of neuroradiology
Aug 13, 2020
BACKGROUND AND PURPOSE: Posterior fossa tumors are the most common pediatric brain tumors. MR imaging is key to tumor detection, diagnosis, and therapy guidance. We sought to develop an MR imaging-based deep learning model for posterior fossa tumor d...
Classification of cervical neoplasms on colposcopic photography using deep learning.
Scientific reports
Aug 12, 2020
Colposcopy is widely used to detect cervical cancers, but experienced physicians who are needed for an accurate diagnosis are lacking in developing countries. Artificial intelligence (AI) has been recently used in computer-aided diagnosis showing rem...
Rapid identification of COVID-19 severity in CT scans through classification of deep features.
Biomedical engineering online
Aug 12, 2020
BACKGROUND: Chest CT is used for the assessment of the severity of patients infected with novel coronavirus 2019 (COVID-19). We collected chest CT scans of 202 patients diagnosed with the COVID-19, and try to develop a rapid, accurate and automatic t...
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