AIMC Topic: Severity of Illness Index

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Brain morphological changes in hypokinetic dysarthria of Parkinson's disease and use of machine learning to predict severity.

CNS neuroscience & therapeutics Mar 20, 2020
BACKGROUND: Up to 90% of patients with Parkinson's disease (PD) eventually develop the speech and voice disorder referred to as hypokinetic dysarthria (HD). However, the brain morphological changes associated with HD have not been investigated. Moreo...
Humans Machine Learning Brain Severity of Illness Index Magnetic Resonance Imaging Parkinson Disease Predictive Value of Tests Hypokinesia Dysarthria Retrospective Studies Female Aged Male Middle Aged
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Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

Neurorehabilitation and neural repair Mar 20, 2020
. Accurate prediction of clinical impairment in upper-extremity motor function following therapy in chronic stroke patients is a difficult task for clinicians but is key in prescribing appropriate therapeutic strategies. Machine learning is a highly ...
Transcranial Magnetic Stimulation Outcome Assessment, Health Care Upper Extremity Stroke Rehabilitation Evoked Potentials, Motor Machine Learning Motor Cortex Female Humans Severity of Illness Index Aged Neural Networks, Computer Support Vector Machine Male Magnetic Resonance Imaging Middle Aged Chronic Disease Stroke Exercise Therapy
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Voice analysis in adductor spasmodic dysphonia: Objective diagnosis and response to botulinum toxin.

Parkinsonism & related disorders Mar 19, 2020
INTRODUCTION: Adductor-type spasmodic dysphonia is a task-specific focal dystonia characterized by involuntary laryngeal muscle spasms. Due to the lack of quantitative instrumental tools, voice assessment in patients with adductor-type spasmodic dysp...
Neuromuscular Agents Dysphonia Severity of Illness Index Treatment Outcome Speech Acoustics Fourier Analysis Botulinum Toxins, Type A Humans Female Machine Learning Aged Aged, 80 and over Adult Male Middle Aged
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High-throughput quantitative histology in systemic sclerosis skin disease using computer vision.

Arthritis research & therapy Mar 14, 2020
BACKGROUND: Skin fibrosis is the clinical hallmark of systemic sclerosis (SSc), where collagen deposition and remodeling of the dermis occur over time. The most widely used outcome measure in SSc clinical trials is the modified Rodnan skin score (mRS...
Eosine Yellowish-(YS) Methyl Green Scleroderma, Localized Adult Male Middle Aged Severity of Illness Index Deep Learning Cohort Studies Principal Component Analysis Biopsy Skin Azo Compounds Scleroderma, Systemic Humans Neural Networks, Computer Algorithms Female
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The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

The international journal of cardiovascular imaging Mar 4, 2020
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) measurements compared...
Retrospective Studies Female Reproducibility of Results Aged Male Humans Machine Learning Coronary Artery Disease Observer Variation Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis Fractional Flow Reserve, Myocardial
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A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History.

Ophthalmology Feb 15, 2020
PURPOSE: To develop and validate a deep learning model for the automatic segmentation of geographic atrophy (GA) using color fundus images (CFIs) and its application to study the growth rate of GA.
Fundus Oculi Humans Male Retina Forecasting Fluorescein Angiography Disease Progression Prospective Studies Geographic Atrophy Severity of Illness Index Female Deep Learning Aged Follow-Up Studies
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Assessment of knee pain from MR imaging using a convolutional Siamese network.

European radiology Feb 13, 2020
OBJECTIVES: It remains difficult to characterize the source of pain in knee joints either using radiographs or magnetic resonance imaging (MRI). We sought to determine if advanced machine learning methods such as deep neural networks could distinguis...
Knee Synovitis Area Under Curve Humans Male Radiography Neural Networks, Computer Knee Joint Middle Aged Female Arthralgia Severity of Illness Index Aged Osteoarthritis, Knee Deep Learning Magnetic Resonance Imaging
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Assessment of liver fibrosis severity using computed tomography-based liver and spleen volumetric indices in patients with chronic liver disease.

European radiology Feb 13, 2020
OBJECTIVES: To evaluate whether the liver and spleen volumetric indices, measured on portal venous phase CT images, could be used to assess liver fibrosis severity in chronic liver disease.
Humans Retrospective Studies Tomography, X-Ray Computed Female Adult Male Middle Aged Severity of Illness Index Case-Control Studies Deep Learning Organ Size ROC Curve Liver Diseases Liver Cirrhosis Spleen Liver Chronic Disease
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Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.

Gastroenterology Feb 12, 2020
BACKGROUND & AIMS: There are intra- and interobserver variations in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We sought to develop a deep neural network system for consistent, objecti...
Colonoscopy Severity of Illness Index Diagnosis, Computer-Assisted Deep Learning Adolescent Young Adult Adult Male Middle Aged Databases, Factual Colon Humans Remission Induction Prospective Studies Image Interpretation, Computer-Assisted Treatment Outcome Female Wound Healing Reproducibility of Results Colitis, Ulcerative Aged Predictive Value of Tests Aged, 80 and over Biopsy
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Gait variability as digital biomarker of disease severity in Huntington's disease.

Journal of neurology Feb 11, 2020
BACKGROUND: Impaired gait plays an important role for quality of life in patients with Huntington's disease (HD). Measuring objective gait parameters in HD might provide an unbiased assessment of motor deficits in order to determine potential benefic...
Severity of Illness Index Gait Disorders, Neurologic Female Huntington Disease Adult Humans Biomechanical Phenomena Machine Learning Male Biomarkers Middle Aged
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