AIMC Topic: Young Adult

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Is it possible to detect cerebral dominance via EEG signals by using deep learning?

Medical hypotheses Jul 20, 2019
Each brain hemisphere is dominant for certain functions such as speech. The determination of speech laterality prior to surgery is of paramount importance for accurate risk prediction. In this study, we aimed to determine speech laterality via EEG si...
Support Vector Machine Area Under Curve Electroencephalography Reference Values Fourier Analysis Adult Dominance, Cerebral Male Broca Area Middle Aged Wernicke Area Diagnosis, Computer-Assisted Deep Learning Adolescent Humans Retrospective Studies Female Aged Young Adult
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Data-driven self-calibration and reconstruction for non-cartesian wave-encoded single-shot fast spin echo using deep learning.

Journal of magnetic resonance imaging : JMRI Jul 19, 2019
BACKGROUND: Current self-calibration and reconstruction methods for wave-encoded single-shot fast spin echo imaging (SSFSE) requires long computational time, especially when high accuracy is needed.
Calibration Male Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Artifacts Prospective Studies Female Aged Young Adult Adult Humans
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Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms.

The international journal of cardiovascular imaging Jul 19, 2019
Deep learning (DL) algorithms are increasingly used in cardiac imaging. We aimed to investigate the utility of DL algorithms in de-noising transthoracic echocardiographic images and removing acoustic shadowing artefacts specifically in patients with ...
Humans Female Reproducibility of Results Young Adult Adult Male Predictive Value of Tests Echocardiography Image Interpretation, Computer-Assisted Middle Aged Artifacts Case-Control Studies Signal-To-Noise Ratio Deep Learning Heart Defects, Congenital
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Humans Algorithms Prospective Studies Retrospective Studies Female Reproducibility of Results Aged Young Adult Adult Pulmonary Disease, Chronic Obstructive Healthy Volunteers Imaging, Three-Dimensional Smoking Asthma Image Processing, Computer-Assisted Respiration Male Inflammation Signal-To-Noise Ratio Fourier Analysis Middle Aged Magnetic Resonance Imaging Bronchiectasis Protons Lung Solitary Pulmonary Nodule Xenon Isotopes Deep Learning Tuberculosis, Pulmonary
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Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care.

The British journal of ophthalmology Jul 18, 2019
BACKGROUND: Hospital Eye Services (HES) in the UK face an increasing number of optometric referrals driven by progress in retinal imaging. The National Health Service (NHS) published a 10-year strategy (NHS Long-Term Plan) to transform services to me...
United Kingdom Cloud Computing Adult Male Middle Aged Follow-Up Studies Ophthalmology Telemedicine Retrospective Studies Female Aged Aged, 80 and over Young Adult Humans Glaucoma Artificial Intelligence
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Management for Ureteral Stenosis: A Comparison of Robot-Assisted Laparoscopic Ureteroureterostomy and Conventional Laparoscopic Ureteroureterostomy.

Journal of laparoendoscopic & advanced surgical techniques. Part A Jul 17, 2019
To describe and analyze our experience of robotic-assisted laparoscopic ureteroureterostomy (RALU) and conventional LU for the repair of ureteral stenosis and compare the differences of safety and efficacy between RALU and LU. Patients who underwen...
Postoperative Period Ureter Ureteral Obstruction Ureterostomy Treatment Outcome Operative Time Robotics Laparoscopy Anastomosis, Surgical Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Young Adult Adult Male Middle Aged
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Patient-based prediction algorithm of relapse after allo-HSCT for acute Leukemia and its usefulness in the decision-making process using a machine learning approach.

Cancer medicine Jul 15, 2019
Although allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a curative therapy for high-risk acute leukemia (AL), some patients still relapse. Since patients simultaneously have many prognostic factors, difficulties are associated with...
Algorithms Prognosis Clinical Decision-Making Female Young Adult Adult Humans Machine Learning Decision Trees Survival Analysis Disease Management Hematopoietic Stem Cell Transplantation Transplantation, Homologous Patient Participation Leukemia, Myeloid, Acute Male Middle Aged Models, Theoretical Treatment Outcome
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Improving Operating Room Efficiency: Machine Learning Approach to Predict Case-Time Duration.

Journal of the American College of Surgeons Jul 13, 2019
BACKGROUND: Accurate estimation of operative case-time duration is critical for optimizing operating room use. Current estimates are inaccurate and earlier models include data not available at the time of scheduling. Our objective was to develop stat...
Humans Machine Learning Young Adult Adult Male Middle Aged Adolescent Operative Time Algorithms Retrospective Studies Female Aged Aged, 80 and over Efficiency, Organizational Linear Models Operating Rooms Models, Organizational
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Randomized Controlled Trial of Gait Training Using Gait Exercise Assist Robot (GEAR) in Stroke Patients with Hemiplegia.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 13, 2019
PURPOSE: This trial aimed to validate the effectiveness of using the Gait Exercise Assist Robot (GEAR) in patients with hemiplegia after primary stroke.
Hemiplegia Mobility Limitation Walk Test Time Factors Female Equipment Design Humans Treatment Outcome Aged Stroke Recovery of Function Young Adult Gait Robotics Adult Japan Disability Evaluation Male Exercise Therapy Middle Aged Gait Analysis
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Use of Machine Learning and Wearable Sensors to Predict Energetics and Kinematics of Cutting Maneuvers.

Sensors (Basel, Switzerland) Jul 12, 2019
Changes of directions and cutting maneuvers, including 180-degree turns, are common locomotor actions in team sports, implying high mechanical load. While the mechanics and neurophysiology of turns have been extensively studied in laboratory conditio...
Soccer Young Adult Adult Biomechanical Phenomena Wearable Electronic Devices Humans Running Machine Learning Female
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