AIMC Topic: Double-Blind Method
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OCT Signal Enhancement with Deep Learning.
Ophthalmology. Glaucoma
Oct 15, 2020
PURPOSE: To establish whether deep learning methods are able to improve the signal-to-noise ratio of time-domain (TD) OCT images to approach that of spectral-domain (SD) OCT images.
Machine learning and individual variability in electric field characteristics predict tDCS treatment response.
Brain stimulation
Oct 10, 2020
BACKGROUND: Transcranial direct current stimulation (tDCS) is widely investigated as a therapeutic tool to enhance cognitive function in older adults with and without neurodegenerative disease. Prior research demonstrates that electric current delive...
Network topology and machine learning analyses reveal microstructural white matter changes underlying Chinese medicine Dengzhan Shengmai treatment on patients with vascular cognitive impairment.
Pharmacological research
Mar 31, 2020
With the increasing incidence of cerebrovascular diseases and dementia, considerable efforts have been made to develop effective treatments on vascular cognitive impairment (VCI), among which accumulating practice-based evidence has shown great poten...
Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.
The lancet. Gastroenterology & hepatology
Jan 22, 2020
BACKGROUND: Colonoscopy with computer-aided detection (CADe) has been shown in non-blinded trials to improve detection of colon polyps and adenomas by providing visual alarms during the procedure. We aimed to assess the effectiveness of a CADe system...
Machine Learning Identifies Large-Scale Reward-Related Activity Modulated by Dopaminergic Enhancement in Major Depression.
Biological psychiatry. Cognitive neuroscience and neuroimaging
Oct 22, 2019
BACKGROUND: Theoretical models have emphasized systems-level abnormalities in major depressive disorder (MDD). For unbiased yet rigorous evaluations of pathophysiological mechanisms underlying MDD, it is critically important to develop data-driven ap...
Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.
The Lancet. Digital health
Oct 17, 2019
BACKGROUND: Current lung cancer screening guidelines use mean diameter, volume or density of the largest lung nodule in the prior computed tomography (CT) or appearance of new nodule to determine the timing of the next CT. We aimed at developing a mo...
Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction.
JACC. Heart failure
Oct 9, 2019
OBJECTIVES: This study sought to develop models for predicting mortality and heart failure (HF) hospitalization for outpatients with HF with preserved ejection fraction (HFpEF) in the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure with...
A Radical Proposition: Opioid-sparing Prostatectomy.
European urology focus
Jun 21, 2019
Radical prostatectomy has largely become a procedure requiring a single day in the hospital with improving convalescence. Pre-operative counseling on perioperatively expectations including a discussion of pain management using non-opioid alternatives...
Using Artificial Intelligence to Identify Factors Associated with Autism Spectrum Disorder in Adolescents with Cerebral Palsy.
Neuropediatrics
Apr 24, 2019
Autism spectrum disorder (ASD) is common in adolescents with cerebral palsy (CP) and there is a lack of studies applying artificial intelligence to investigate this field and this population in particular. The aim of this study is to develop and test...
Influence of New Technologies on Post-Stroke Rehabilitation: A Comparison of Armeo Spring to the Kinect System.
Medicina (Kaunas, Lithuania)
Apr 9, 2019
BACKGROUND: New technologies to improve post-stroke rehabilitation outcomes are of great interest and have a positive impact on functional, motor, and cognitive recovery. Identifying the most effective rehabilitation intervention is a recognized prio...
Spatial Navigation
Humans
Analysis of Variance
Prospective Studies
Memory
Female
Virtual Reality Exposure Therapy
Aged
Upper Extremity
Stroke Rehabilitation
Cognition
Biomechanical Phenomena
Treatment Outcome
Male
Hand Strength
Double-Blind Method
Middle Aged
Recovery of Function
Exercise Therapy
Anxiety
Robotics
Attention
Range of Motion, Articular
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