AIMC Topic: Feasibility Studies

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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...
Endoscopy, Digestive System Predictive Value of Tests Area Under Curve Color Helicobacter Infections Helicobacter pylori Feasibility Studies Image Enhancement Gastric Mucosa Atrophy Sensitivity and Specificity Humans Male Prospective Studies Middle Aged Female Diagnosis, Computer-Assisted Aged Deep Learning
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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...
Adult Biomechanical Phenomena Male Middle Aged Pilot Projects Humans Female Aged Arm Recovery of Function Paresis Chronic Disease Electric Stimulation Therapy Robotics Stroke Rehabilitation 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...
Feasibility Studies Tomography, Emission-Computed, Single-Photon Coronary Circulation Myocardial Perfusion Imaging Cardiac Imaging Techniques Humans Neural Networks, Computer Prospective Studies Time Factors
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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 Sensitivity and Specificity Deep Learning Plastic Surgery Procedures Feasibility Studies Margins of Excision
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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...
Cheminformatics Machine Learning Plant Leaves Principal Component Analysis Feasibility Studies Cannabis Reproducibility of Results Hyperspectral Imaging Sensitivity and Specificity Brazil Spectroscopy, Near-Infrared
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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 ...
Male Middle Aged Arterial Pressure Anesthesia, General Humans Female Risk Assessment Models, Cardiovascular Bayes Theorem Neural Networks, Computer Aged Anesthetics Monitoring, Intraoperative Machine Learning Feasibility Studies Adult ROC Curve Intubation, Intratracheal Retrospective Studies Hypotension Drug Delivery Systems Electronic Health Records Cholecystectomy, Laparoscopic
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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...
Privacy Computer Security Medical Records Humans Precision Medicine Models, Cardiovascular Neural Networks, Computer Hemodynamics Algorithms Deep Learning Databases, Factual Coronary Angiography Feasibility Studies
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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 ...
Feasibility Studies Gastrectomy Gastric Bypass Obesity, Morbid Reoperation Humans Retrospective Studies Treatment Outcome Robotics Laparoscopy
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Artificial intelligence to detect tympanic membrane perforations.

The Journal of laryngology and otology Apr 2, 2020
OBJECTIVE: To explore the feasibility of constructing a proof-of-concept artificial intelligence algorithm to detect tympanic membrane perforations, for future application in under-resourced rural settings.
Otoscopy Retrospective Studies Mass Screening Humans Feasibility Studies Neural Networks, Computer Tympanic Membrane Artificial Intelligence Tympanic Membrane Perforation Algorithms
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Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

The Journal of investigative dermatology Mar 31, 2020
Although deep learning algorithms have demonstrated expert-level performance, previous efforts were mostly binary classifications of limited disorders. We trained an algorithm with 220,680 images of 174 disorders and validated it using Edinburgh (1,3...
Feasibility Studies Dermatologists Skin Diseases Dermatology Image Interpretation, Computer-Assisted Datasets as Topic Photography Internship and Residency Drug Therapy, Computer-Assisted Adolescent ROC Curve Antiviral Agents Antifungal Agents Skin Middle Aged Glucocorticoids Deep Learning Clinical Competence Dermoscopy Aged Young Adult Adult Male Humans Anti-Bacterial Agents Female Skin Neoplasms
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