AIMC Topic: Humans

Showing 65041 to 65050 of 95995 articles
Clear Filters

Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to evaluate the value of deep learning on positron emission tomography with computed tomography (PET/CT)-based radiomics for individual induction chemotherapy (IC) in advanced nasopharyngeal carcinoma (NPC).
Positron Emission Tomography Computed Tomography Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Induction Chemotherapy Adult Survival Rate Male Middle Aged Child ROC Curve Nomograms Female Deep Learning Risk Factors Adolescent Aged Young Adult Humans Prognosis Retrospective Studies
View on PubMed DOI

Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

Computer methods and programs in biomedicine Apr 11, 2019
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Linear Models Male Area Under Curve Retrospective Studies Treatment Outcome Bayes Theorem Humans Acetaminophen Female Registries Middle Aged Predictive Value of Tests Liver Failure, Acute Machine Learning Severity of Illness Index Adult Databases, Factual ROC Curve Sensitivity and Specificity Prognosis
View on PubMed DOI

MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 11, 2019
PURPOSE: This study assessed the dosimetric accuracy of synthetic CT images generated from magnetic resonance imaging (MRI) data for focal brain radiation therapy, using a deep learning approach.
(1)
Tomography, X-Ray Computed Brain Neoplasms Deep Learning Magnetic Resonance Imaging Humans Radiotherapy, Image-Guided Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Bone and Bones
View on PubMed DOI

Differential diagnosis of multiple system atrophy with predominant parkinsonism and Parkinson's disease using neural networks.

Journal of the neurological sciences Apr 11, 2019
Differential diagnosis between Parkinson's disease (PD) and atypical parkinsonism, such as multiple system atrophy (MSA), can be difficult, especially in the early stages of the disease. Deep learning using neural networks (NNs) makes possible the pr...
Magnetic Resonance Spectroscopy Multiple System Atrophy Magnetic Resonance Imaging Parkinson Disease Diagnosis, Differential Parkinsonian Disorders Male Middle Aged Humans Deep Learning Pilot Projects Neural Networks, Computer Female Aged
View on PubMed DOI

Cimind: A phonetic-based tool for multilingual named entity recognition in biomedical texts.

Journal of biomedical informatics Apr 11, 2019
BACKGROUND: Extracting concepts from biomedical texts is a key to support many advanced applications such as biomedical information retrieval. However, in clinical notes Named Entity Recognition (NER) has to deal with various types of errors such as ...
Vocabulary, Controlled Phonetics Humans Algorithms Natural Language Processing
View on PubMed DOI

Assaying neural activity of children during video game play in public spaces: a deep learning approach.

Journal of neural engineering Apr 11, 2019
OBJECTIVE: Understanding neural activity patterns in the developing brain remains one of the grand challenges in neuroscience. Developing neural networks are likely to be endowed with functionally important variability associated with the environment...
Humans Deep Learning Adolescent Child Electroencephalography Video Games Neural Networks, Computer Brain Female Male
View on PubMed DOI

Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers.
Neoplasm Grading Carcinoma, Ovarian Epithelial Preoperative Care Support Vector Machine Ovarian Neoplasms Bayes Theorem Neoplasm Staging Female Aged Aged, 80 and over Young Adult Biomarkers, Tumor Middle Aged ROC Curve Adult Survival Rate Artificial Intelligence Machine Learning Algorithms Prognosis Humans Neural Networks, Computer
View on PubMed DOI

Hand Extension Robot Orthosis (HERO) Glove: Development and Testing With Stroke Survivors With Severe Hand Impairment.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 11, 2019
The hand extension robot orthosis (HERO) glove was iteratively designed with occupational therapists and stroke survivors to enable stroke survivors with severe hand impairment to grasp and stabilize everyday objects, while being portable, lightweigh...
Humans Female Young Adult Adult Male Aged Aged, 80 and over Healthy Volunteers Psychomotor Performance Range of Motion, Articular Stroke Rehabilitation Hand Strength Robotics Hand Self-Help Devices Middle Aged Stroke Movement Disorders Adolescent Prosthesis Design Wearable Electronic Devices Treatment Outcome
View on PubMed DOI

Introduction.

International journal of neural systems Apr 11, 2019
Humans Neural Networks, Computer Electroencephalography Epilepsy
View on PubMed DOI

Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning.

Proceedings of the National Academy of Sciences of the United States of America Apr 11, 2019
Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies...
Humans Neurons Calcium Video Recording Mice, Transgenic Visual Cortex Animals Deep Learning Image Processing, Computer-Assisted Mice Microscopy, Fluorescence, Multiphoton
View on PubMed DOI
Popular Topics
Recent Journals