AIMC Topic: Male

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Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery.

World neurosurgery Mar 14, 2020
BACKGROUND: Artificial intelligence (AI) may favorably support surgeons but can result in concern among patients and their relatives. The aim of this study was to evaluate attitudes of patients and their relatives regarding use of AI in neurosurgery.
Male Middle Aged Postoperative Complications Surveys and Questionnaires Adolescent Image Processing, Computer-Assisted Neurosurgery Patients Family Attitude Aged Aged, 80 and over Young Adult Adult Cross-Sectional Studies Humans Artificial Intelligence Female Patient Care Planning
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Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback.

Sensors (Basel, Switzerland) Mar 14, 2020
Optimizing neurofeedback (NF) and brain-computer interface (BCI) implementations constitutes a challenge across many fields and has so far been addressed by, among others, advancing signal processing methods or predicting the user's control ability f...
Imagery, Psychotherapy Sensorimotor Cortex Robotics Electroencephalography Signal Processing, Computer-Assisted Humans Female Young Adult Adult Male Brain-Computer Interfaces Neurofeedback
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High-throughput quantitative histology in systemic sclerosis skin disease using computer vision.

Arthritis research & therapy Mar 14, 2020
BACKGROUND: Skin fibrosis is the clinical hallmark of systemic sclerosis (SSc), where collagen deposition and remodeling of the dermis occur over time. The most widely used outcome measure in SSc clinical trials is the modified Rodnan skin score (mRS...
Azo Compounds Scleroderma, Systemic Eosine Yellowish-(YS) Methyl Green Scleroderma, Localized Deep Learning Humans Cohort Studies Neural Networks, Computer Principal Component Analysis Algorithms Biopsy Female Skin Adult Male Middle Aged Severity of Illness Index
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Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference.

Skeletal radiology Mar 13, 2020
OBJECTIVE: To clinically validate a fully automated deep convolutional neural network (DCNN) for detection of surgically proven meniscus tears.
Adolescent Magnetic Resonance Imaging Radiologists Arthroscopy Reference Standards Adult Sensitivity and Specificity Male Middle Aged Clinical Competence Tibial Meniscus Injuries Humans Neural Networks, Computer Retrospective Studies Female Aged
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Non-Standardized Patch-Based ECG Lead Together With Deep Learning Based Algorithm for Automatic Screening of Atrial Fibrillation.

IEEE journal of biomedical and health informatics Mar 13, 2020
This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (ECG) monitoring to automatically detect atrial fibrillation (AF) with special emphasis on the combination of deep learning based algorithm and modified ...
Diagnosis, Computer-Assisted Deep Learning Electrocardiography Equipment Design Signal Processing, Computer-Assisted Aged Atrial Fibrillation Humans Aged, 80 and over Neural Networks, Computer Adult Algorithms Male Female Middle Aged
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Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Humans Artificial Intelligence Normal Distribution Respiratory Rate Monitoring, Physiologic Models, Statistical Equipment Design Signal Processing, Computer-Assisted Respiration Body Temperature Adult Signal-To-Noise Ratio Sensitivity and Specificity Infrared Rays Algorithms Male Thermography Female Adolescent Stochastic Processes Temperature Support Vector Machine Reproducibility of Results Young Adult
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Artificial Intelligence - Changing the Field of Prostate Cancer?

Irish medical journal Mar 13, 2020
Medical Oncology Diagnosis, Computer-Assisted Humans Urology Magnetic Resonance Imaging Artificial Intelligence Prostatic Neoplasms Algorithms Biopsy Male Surgery, Computer-Assisted
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Artificial neural network-based models used for predicting 28- and 90-day mortality of patients with hepatitis B-associated acute-on-chronic liver failure.

BMC gastroenterology Mar 13, 2020
BACKGROUND: This study aimed to develop prognostic models for predicting 28- and 90-day mortality rates of hepatitis B virus (HBV)-associated acute-on-chronic liver failure (HBV-ACLF) through artificial neural network (ANN) systems.
Sodium gamma-Glutamyltransferase Hepatitis B Bilirubin Humans Retrospective Studies Prothrombin Time Age Factors Neural Networks, Computer Female Hepatic Encephalopathy Acute-On-Chronic Liver Failure Prognosis Risk Factors Hepatitis B e Antigens Adult Alkaline Phosphatase Male
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Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN).

IEEE journal of biomedical and health informatics Mar 12, 2020
The medical and machine learning communities are relying on the promise of artificial intelligence (AI) to transform medicine through enabling more accurate decisions and personalized treatment. However, progress is slow. Legal and ethical issues aro...
Male Data Anonymization Information Dissemination Humans Neural Networks, Computer Electronic Health Records Female
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Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.

European radiology Mar 12, 2020
OBJECTIVE: To determine the potential impact of on-site CT-derived fractional flow reserve (CT-FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in patients with obstructive coronary artery disease (CAD) on CCTA.
Tomography, X-Ray Computed Female Aged Disease Management Male Hemodynamics Humans Cardiac Catheterization Middle Aged Cohort Studies Machine Learning Computed Tomography Angiography Coronary Angiography Retrospective Studies Coronary Stenosis Percutaneous Coronary Intervention Fractional Flow Reserve, Myocardial Coronary Artery Disease
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