AIMC Topic: Young Adult
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Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video).
Gastrointestinal endoscopy
Jul 11, 2019
BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve the efficiency of screening for esophageal squamous cell carcinoma (ESCC). Here, we developed and validated a novel system of computer-aided detection ...
Prediction of Aneurysm Stability Using a Machine Learning Model Based on PyRadiomics-Derived Morphological Features.
Stroke
Jul 10, 2019
Background and Purpose- Discrimination of the stability of intracranial aneurysms is critical for determining the treatment strategy, especially in small aneurysms. This study aims to evaluate the feasibility of applying machine learning for predicti...
A robust machine learning enabled decomposition of shear ground reaction forces during the double contact phase of walking.
Gait & posture
Jul 9, 2019
BACKGROUND: Dynamic analyses of walking rely on the 3D ground reaction forces (GRF) under each foot, while only the resultant force of both limbs may be recorded on a single-belt instrumented treadmill or when both feet touch the same force platform.
Automatically determining cause of death from verbal autopsy narratives.
BMC medical informatics and decision making
Jul 9, 2019
BACKGROUND: A verbal autopsy (VA) is a post-hoc written interview report of the symptoms preceding a person's death in cases where no official cause of death (CoD) was determined by a physician. Current leading automated VA coding methods primarily u...
SwarmTouch: Guiding a Swarm of Micro-Quadrotors With Impedance Control Using a Wearable Tactile Interface.
IEEE transactions on haptics
Jul 9, 2019
To achieve a smooth and safe guiding of a drone formation by a human operator, we propose a novel interaction strategy for a human-swarm communication, which combines impedance control and vibrotactile feedback. The presented approach takes into acco...
Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN).
Behaviour research and therapy
Jul 8, 2019
In this study, a computer-based feedback, decision and clinical problem-solving system for clinical practice will be described - the Trier Treatment Navigator (TTN). The paper deals with the underlying research concepts related to personalized pre-tr...
Humans
Mood Disorders
Problem Solving
Clinical Decision-Making
Anxiety Disorders
Cognitive Behavioral Therapy
Female
Adjustment Disorders
Surveys and Questionnaires
Aged
Patient Dropouts
Adolescent
Machine Learning
Personality Disorders
Stress Disorders, Post-Traumatic
Mental Disorders
Decision Support Systems, Clinical
Precision Medicine
Young Adult
Adult
Feedback
Male
Middle Aged
Metabolic cost adaptations during training with a soft exosuit assisting the hip joint.
Scientific reports
Jul 5, 2019
Different adaptation rates have been reported in studies involving ankle exoskeletons designed to reduce the metabolic cost of their wearers. This work aimed to investigate energetic adaptations occurring over multiple training sessions, while walkin...
Multivariate classification of drug-naive obsessive-compulsive disorder patients and healthy controls by applying an SVM to resting-state functional MRI data.
BMC psychiatry
Jul 5, 2019
BACKGROUND: Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies have revealed intrinsic regional activity alterations in obsessive-compulsive disorder (OCD), but those results were based on group analyses, which limits thei...
Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization.
Brain stimulation
Jul 4, 2019
BACKGROUND: Selecting optimal stimulation parameters from numerous possibilities is a major obstacle for assessing the efficacy of non-invasive brain stimulation.
Drone-related injuries treated at emergency departments.
The American journal of emergency medicine
Jul 3, 2019
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