AIMC Topic: Feasibility Studies

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Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study.

Biomedical engineering online May 14, 2020
BACKGROUND: In the past years, robotic systems have become increasingly popular in upper limb rehabilitation. Nevertheless, clinical studies have so far not been able to confirm superior efficacy of robotic therapy over conventional methods. The pers...
Movement Stroke Rehabilitation Pilot Projects Recovery of Function Robotics Feasibility Studies Humans Precision Medicine Biomechanical Phenomena
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Cochlear implant telemedicine: Remote fitting based on psychoacoustic self-tests and artificial intelligence.

Cochlear implants international May 13, 2020
This study aims to assess the feasibility of autonomous cochlear implant (CI) fitting by adult CI recipients based on psychoacoustic self-testing and artificial intelligence (AI). A feasibility study was performed on six adult CI recipients implant...
Male Middle Aged Treatment Outcome Feasibility Studies Artificial Intelligence Female Aged Adult Prosthesis Fitting Self-Testing Telemedicine Cochlear Implantation Cochlear Implants Psychoacoustics Humans
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Endoscopic three-categorical diagnosis of Helicobacter pylori infection using linked color imaging and deep learning: a single-center prospective study (with video).

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association May 7, 2020
BACKGROUND: Helicobacter pylori (H. pylori) eradication is required to reduce incidence related to gastric cancer. Recently, it was found that even after the successful eradication of H. pylori, an increased, i.e., moderate, risk of gastric cancer pe...
Humans Prospective Studies Female Color Atrophy Aged Image Enhancement Helicobacter Infections Diagnosis, Computer-Assisted Endoscopy, Digestive System Sensitivity and Specificity Gastric Mucosa Helicobacter pylori Deep Learning Male Feasibility Studies Predictive Value of Tests Middle Aged Area Under Curve
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Reaching exercise for chronic paretic upper extremity after stroke using a novel rehabilitation robot with arm-weight support and concomitant electrical stimulation and vibration: before-and-after feasibility trial.

Biomedical engineering online May 6, 2020
BACKGROUND: Our group developed a rehabilitation robot to assist with repetitive, active reaching movement of a paretic upper extremity. The robot is equipped with a servo motor-controlled arm-weight support and works in conjunction with neuromuscula...
Male Middle Aged Pilot Projects Recovery of Function Female Aged Adult Arm Biomechanical Phenomena Chronic Disease Electric Stimulation Therapy Paresis Robotics Stroke Rehabilitation Humans Stroke Vibration Feasibility Studies
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Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Apr 28, 2020
INTRODUCTION: The purpose of this work was to assess the feasibility of acquisition time reduction in MPI-SPECT imaging using deep leering techniques through two main approaches, namely reduction of the acquisition time per projection and reduction o...
Time Factors Feasibility Studies Tomography, Emission-Computed, Single-Photon Coronary Circulation Humans Myocardial Perfusion Imaging Cardiac Imaging Techniques Neural Networks, Computer Prospective Studies
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Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study.

International journal of computer assisted radiology and surgery Apr 22, 2020
PURPOSE: Basal cell carcinoma (BCC) is the most commonly diagnosed cancer and the number of diagnosis is growing worldwide due to increased exposure to solar radiation and the aging population. Reduction of positive margin rates when removing BCC lea...
Humans Skin Neoplasms Carcinoma, Basal Cell Margins of Excision Sensitivity and Specificity Deep Learning Plastic Surgery Procedures Feasibility Studies
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Detection and identification of Cannabis sativa L. using near infrared hyperspectral imaging and machine learning methods. A feasibility study.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 21, 2020
Remote identification of illegal plantations of Cannabis sativa Linnaeus is an important task for the Brazilian Federal Police. The current analytical methodology is expensive and strongly dependent on the expertise of the forensic investigator. A fa...
Plant Leaves Principal Component Analysis Feasibility Studies Cannabis Hyperspectral Imaging Cheminformatics Reproducibility of Results Sensitivity and Specificity Brazil Spectroscopy, Near-Infrared Machine Learning
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Development of a prediction model for hypotension after induction of anesthesia using machine learning.

PloS one Apr 16, 2020
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the ...
Models, Cardiovascular Anesthetics Intubation, Intratracheal Adult Drug Delivery Systems Bayes Theorem Retrospective Studies Male Humans Feasibility Studies Risk Assessment Electronic Health Records Neural Networks, Computer Hypotension Female Monitoring, Intraoperative Middle Aged Machine Learning Cholecystectomy, Laparoscopic ROC Curve Aged Arterial Pressure Anesthesia, General
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Applying Deep Neural Networks over Homomorphic Encrypted Medical Data.

Computational and mathematical methods in medicine Apr 9, 2020
In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learning has received considerable attention from the healthcare sector. Despite their ability to provide solutions within personalized medicine, strict regu...
Precision Medicine Feasibility Studies Humans Models, Cardiovascular Hemodynamics Privacy Neural Networks, Computer Deep Learning Computer Security Algorithms Coronary Angiography Medical Records Databases, Factual
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Feasibility and safety of robot-assisted bariatric conversions and revisions.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery Apr 4, 2020
BACKGROUND: Conversions and revisions after bariatric procedures are inevitable and associated with longer operative time and higher complication rates. Because robot-assisted procedures allow better dissection, robotic conversions and revisions may ...
Treatment Outcome Robotics Laparoscopy Feasibility Studies Obesity, Morbid Reoperation Gastrectomy Humans Gastric Bypass Retrospective Studies
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