AIMC Topic: Feasibility Studies

Clear Filters Showing 401 to 410 of 895 articles

Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity.

American journal of physiology. Regulatory, integrative and comparative physiology Jun 16, 2021
An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 of the adult population in the United States. The current gold standard to quantify pain is highly subjective, based upon self-reporting with numerica...
Pain Hot Temperature Sympathetic Nervous System Pain Threshold Pain Measurement Signal Processing, Computer-Assisted Skin Feasibility Studies Galvanic Skin Response Electrodiagnosis Pain Perception Machine Learning Female Reproducibility of Results Young Adult Adult Male Humans Severity of Illness Index Predictive Value of Tests
View on PubMed DOI

Design and Feasibility Tests of a Lightweight Soft Gripper for Compliant and Flexible Envelope Grasping.

Soft robotics Jun 7, 2021
A lightweight soft gripper for envelope grasping is proposed. The main component of the gripper is a spherical latex superelastic membrane whose material properties allow a grabbing function to be realized. The grasping process includes the expansion...
Robotics Equipment Design Feasibility Studies Mechanical Phenomena Hand Strength
View on PubMed DOI

A Preliminary Study of Deep-Learning Algorithm for Analyzing Multiplex Immunofluorescence Biomarkers in Body Fluid Cytology Specimens.

Acta cytologica Jun 2, 2021
INTRODUCTION: Multiplex biomarker analysis of cytological body fluid specimens is often used to assist cytologists in distiguishing metastatic cancer cells from reactive mesothelial cells. However, evaluating biomarker expression visually may be chal...
Diagnosis, Differential Diagnosis, Computer-Assisted Cytodiagnosis Humans Deep Learning Pleural Effusion, Malignant Retrospective Studies Predictive Value of Tests Image Processing, Computer-Assisted Fluorescent Antibody Technique Reproducibility of Results Microscopy, Fluorescence Adenocarcinoma Biomarkers, Tumor Feasibility Studies
View on PubMed DOI

Convolutional neural networks to identify malformations of cortical development: A feasibility study.

Seizure May 31, 2021
OBJECTIVE: To develop and test a deep learning model to automatically detect malformations of cortical development (MCD).
Feasibility Studies Humans Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Area Under Curve
View on PubMed DOI

Resection of Intracranial Tumors with a Robotic-Assisted Digital Microscope: A Preliminary Experience with Robotic Scope.

World neurosurgery May 27, 2021
BACKGROUND: Magnified intraoperative visualization is of paramount importance during microsurgical procedures. Although the introduction of the operating microscope represented one of the most relevant innovations in modern neurosurgery, surgical vis...
Microscopy Meningioma Astrocytoma Robotic Surgical Procedures Neurosurgical Procedures Surgery, Computer-Assisted Feasibility Studies Humans Female Aged Adult Imaging, Three-Dimensional Brain Neoplasms Magnetic Resonance Imaging Male Robotics Middle Aged Microsurgery
View on PubMed DOI

Feasibility of a generalized convolutional neural network for automated identification of vertebral compression fractures: The Manitoba Bone Mineral Density Registry.

Bone May 19, 2021
BACKGROUND: Vertebral fracture assessment (VFA) images are acquired in dual-energy (DE) or single-energy (SE) scan modes. Automated identification of vertebral compression fractures, from VFA images acquired using GE Healthcare scanners in DE mode, h...
Bone Density Deep Learning Registries Feasibility Studies Humans Spinal Fractures Neural Networks, Computer Fractures, Compression Manitoba
View on PubMed DOI

Machine Learning Analysis of MicroRNA Expression Data Reveals Novel Diagnostic Biomarker for Ischemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 19, 2021
OBJECTIVES: Ischemic stroke (IS) is one of the leading causes of morbidity and mortality worldwide. Circulating microRNAs have a potential as minimally invasive biomarkers for disease prediction, diagnosis, and prognosis. In this study, we sought to ...
Neural Networks, Computer Machine Learning Reproducibility of Results Aged Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Real-Time Polymerase Chain Reaction Humans Feasibility Studies Support Vector Machine Circulating MicroRNA MicroRNAs Predictive Value of Tests Ischemic Stroke
View on PubMed DOI

Feasibility of predicting allele specific expression from DNA sequencing using machine learning.

Scientific reports May 19, 2021
Allele specific expression (ASE) concerns divergent expression quantity of alternative alleles and is measured by RNA sequencing. Multiple studies show that ASE plays a role in hereditary diseases by modulating penetrance or phenotype severity. Howev...
Gene Expression Regulation Genome, Human Sequence Analysis, DNA Bias Feasibility Studies Alleles Humans Machine Learning ROC Curve Polymorphism, Single Nucleotide Models, Genetic
View on PubMed DOI

Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network-Based Image Classification System.

The Laryngoscope May 17, 2021
OBJECTIVES/HYPOTHESIS: There may be an interobserver variation in the diagnosis of laryngeal disease based on laryngoscopic images according to clinical experience. Therefore, this study is aimed to perform computer-assisted diagnosis for common lary...
Larynx Image Interpretation, Computer-Assisted Datasets as Topic Laryngoscopy Laryngeal Diseases Humans Retrospective Studies Deep Learning ROC Curve Predictive Value of Tests Feasibility Studies
View on PubMed DOI

Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type.

Scientific reports May 10, 2021
Generative adversarial network (GAN) creates synthetic images to increase data quantity, but whether GAN ensures meaningful morphologic variations is still unknown. We investigated whether GAN-based synthetic images provide sufficient morphologic var...
Humans Brain Retrospective Studies Male Middle Aged Deep Learning Contrast Media Female Aged Adult Brain Neoplasms Datasets as Topic DNA Mutational Analysis Isocitrate Dehydrogenase Magnetic Resonance Imaging Glioblastoma Feasibility Studies Image Interpretation, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals