AIMC Topic: Humans

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Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.

International journal of medical informatics Jul 11, 2020
BACKGROUND: Automated classification of glomerular pathological findings is potentially beneficial in establishing an efficient and objective diagnosis in renal pathology. While previous studies have verified the artificial intelligence (AI) models f...
Nephrologists Humans Neural Networks, Computer Artificial Intelligence Deep Learning Intelligence
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Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.

International journal of computer assisted radiology and surgery Jul 11, 2020
PURPOSE: Real-time, two (2D) and three-dimensional (3D) ultrasound (US) has been investigated as a potential alternative to fluoroscopy imaging in various surgical and non-surgical orthopedic procedures. However, low signal to noise ratio, imaging ar...
Humans Neural Networks, Computer Algorithms Computer Simulation Reproducibility of Results Diagnosis, Computer-Assisted Artifacts Fluoroscopy Bone and Bones Bone Diseases Ultrasonography Orthopedic Procedures Orthopedics Acoustics Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Fast interactive medical image segmentation with weakly supervised deep learning method.

International journal of computer assisted radiology and surgery Jul 11, 2020
PURPOSE: To achieve accurate image segmentation, which is the first critical step in medical image analysis and interventions, using deep neural networks seems a promising approach provided sufficiently large and diverse annotated data from experts. ...
Brachytherapy Ultrasonography Image Processing, Computer-Assisted Prostatic Neoplasms Prostate Observer Variation Pattern Recognition, Automated Echocardiography Diagnosis, Computer-Assisted Deep Learning Tomography, X-Ray Computed Reproducibility of Results Male Humans Neural Networks, Computer Databases, Factual
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Usability evaluation of attitude control for a robotic wheelchair for tip mitigation in outdoor environments.

Medical engineering & physics Jul 11, 2020
Tips and falls are the most prominent causes of wheelchair accidents that occur when driving on uneven terrains and less accessible environments. The Mobility Enhancement Robotic Wheelchair (MEBot) was designed to improve the stability of Electric Po...
Equipment Design Wheelchairs Humans Robotic Surgical Procedures Robotics Electricity
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Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms.

Sensors (Basel, Switzerland) Jul 11, 2020
We propose a sign language recognition system based on wearable electronics and two different classification algorithms. The wearable electronics were made of a sensory glove and inertial measurement units to gather fingers, wrist, and arm/forearm mo...
Humans Sign Language Neural Networks, Computer Male Algorithms Middle Aged Female Wearable Electronic Devices Adult
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Keras R-CNN: library for cell detection in biological images using deep neural networks.

BMC bioinformatics Jul 11, 2020
BACKGROUND: A common yet still manual task in basic biology research, high-throughput drug screening and digital pathology is identifying the number, location, and type of individual cells in images. Object detection methods can be useful for identif...
Software Deep Learning Image Processing, Computer-Assisted Humans Cell Nucleus Plasmodium vivax
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AI-assisted synthesis prediction.

Drug discovery today. Technologies Jul 11, 2020
Application of AI technologies in synthesis prediction has developed very rapidly in recent years. We attempt here to give a comprehensive summary on the latest advancement on retro-synthesis planning, forward synthesis prediction as well as quantum ...
Synthetic Drugs Humans Artificial Intelligence Computer-Aided Design
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Deep Neural Network for Automatic Classification of Pathological Voice Signals.

Journal of voice : official journal of the Voice Foundation Jul 10, 2020
OBJECTIVES: Computer-aided pathological voice detection is efficient for initial screening of pathological voice, and has received high academic and clinical attention. This paper proposes an automatic diagnosis method of pathological voice based on ...
Support Vector Machine Acoustics Voice Humans Neural Networks, Computer
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Human Cognition in Interaction With Robots: Taking the Robot's Perspective Into Account.

Human factors Jul 10, 2020
OBJECTIVE: The present study investigated whether and how different human-robot interactions in a physically shared workspace influenced human stimulus-response (SR) relationships.
Cognition Robotics Reaction Time Workplace Humans
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A Machine Learning Approach for Predicting Early Phase Postoperative Hypertension in Patients Undergoing Carotid Endarterectomy.

Annals of vascular surgery Jul 10, 2020
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the prediction of early phase postoperative hypertension (EPOH) requiring the administration of intravenous vasodilators after carotid endarterectomy (CEA).
Decision Support Techniques Databases, Factual Retrospective Studies Humans Machine Learning Aged, 80 and over Adult Male Female Risk Factors Aged Carotid Stenosis Endarterectomy, Carotid Blood Pressure Antihypertensive Agents Cerebrovascular Disorders Administration, Intravenous Vasodilator Agents Cerebrovascular Circulation Hypertension Middle Aged Treatment Outcome Risk Assessment Predictive Value of Tests Time Factors
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