AIMC Topic: Humans
Showing 66701 to 66710 of 95995 articles
Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.
Echocardiography (Mount Kisco, N.Y.)
Dec 4, 2018
BACKGROUND: Heart disease (HD) is the leading cause of global death; there are several mortality prediction models of HD for identifying critically-ill patients and for guiding decision making. The existing models, however, cannot be used during init...
Applied Force during Piston Prosthesis Placement in a 3D-Printed Model: Freehand vs Robot-Assisted Techniques.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Dec 4, 2018
OBJECTIVES: To describe a 3D-printed middle ear model that quantifies the force applied to the modeled incus. To compare the forces applied during placement and crimping of a stapes prosthesis between the Robotic ENT Microsurgery System ( REMS) and t...
Smart Plasmonic Nanorobot for Real-Time Monitoring Cytochrome c Release and Cell Acidification in Apoptosis during Electrostimulation.
Analytical chemistry
Dec 4, 2018
Cytochrome c (Cyt c) release and cellular pH change are two important mediators of apoptosis. Effective methods to regulate or monitor such two events are therefore highly desired for apoptosis research and cancer cell therapy. Herein, we exploited e...
Ensuring Fairness in Machine Learning to Advance Health Equity.
Annals of internal medicine
Dec 4, 2018
Machine learning is used increasingly in clinical care to improve diagnosis, treatment selection, and health system efficiency. Because machine-learning models learn from historically collected data, populations that have experienced human and struct...
Self-limited single nanowire systems combining all-in-one memristive and neuromorphic functionalities.
Nature communications
Dec 4, 2018
The ability for artificially reproducing human brain type signals' processing is one of the main challenges in modern information technology, being one of the milestones for developing global communicating networks and artificial intelligence. Electr...
DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks.
Physics in medicine and biology
Dec 4, 2018
The goal of this study is to demonstrate the feasibility of a novel fully-convolutional volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of prostate stereotactic body radiotherapy (SBRT) patients. DoseNet is su...
Towards stroke prediction using electronic health records.
BMC medical informatics and decision making
Dec 4, 2018
BACKGROUND: As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken. We aim to predict a diagnosis of stroke within one year of t...
Combination of conditional random field with a rule based method in the extraction of PICO elements.
BMC medical informatics and decision making
Dec 4, 2018
BACKGROUND: Extracting primary care information in terms of Patient/Problem, Intervention, Comparison and Outcome, known as PICO elements, is difficult as the volume of medical information expands and the health semantics is complex to capture it fro...
Is Intensity Inhomogeneity Correction Useful for Classification of Breast Cancer in Sonograms Using Deep Neural Network?
Journal of healthcare engineering
Dec 4, 2018
The sonogram is currently an effective cancer screening and diagnosis way due to the convenience and harmlessness in humans. Traditionally, lesion boundary segmentation is first adopted and then classification is conducted, to reach the judgment of b...
Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models.
PloS one
Dec 4, 2018
OBJECTIVE: Limited evidences are available on biomarkers to recognize Systemic Lupus erythematosus (SLE) patients at risk to develop erosive arthritis. Anti-citrullinated peptide antibodies (ACPA) have been widely investigated and identified in up to...
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