AIMC Topic:
Databases, Factual

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Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification.

IEEE journal of biomedical and health informatics Sep 10, 2020
The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global public health crisis spreading hundreds of countries. With the continuous growth of new infections, developing automated tools for COVID-19 identification with CT image is highl...
Pandemics COVID-19 Databases, Factual Humans Machine Learning Computer Systems Computational Biology Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Coronavirus Infections COVID-19 Testing
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Creating a database for health IT events via a hybrid deep learning model.

Journal of biomedical informatics Sep 9, 2020
OBJECTIVE: The use of poorly designed and improperly implemented health information technology (HIT) may compound risks because it can disrupt established work patterns and encourage workarounds. Analyzing and learning from HIT events could reduce th...
Biomedical Technology Databases, Factual Deep Learning Research Report Medical Informatics
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Image denoising by transfer learning of generative adversarial network for dental CT.

Biomedical physics & engineering express Sep 8, 2020
The successful development of the image denoising techniques for low-dose computed tomography (LDCT) was largely owing to the public-domain availability of spatially-aligned high- and low-dose CT image pairs. Even though low-dose CT scans are also hi...
Phantoms, Imaging Radiography, Dental Radiation Dosage Signal-To-Noise Ratio Skull Deep Learning Image Processing, Computer-Assisted Humans Algorithms Databases, Factual Tomography, X-Ray Computed Adult
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Ensemble neural network approach detecting pain intensity from facial expressions.

Artificial intelligence in medicine Sep 7, 2020
This paper reports on research to design an ensemble deep learning framework that integrates fine-tuned, three-stream hybrid deep neural network (i.e., Ensemble Deep Learning Model, EDLM), employing Convolutional Neural Network (CNN) to extract facia...
Humans Databases, Factual Neural Networks, Computer Pain Algorithms Facial Expression
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Forecasting outbound student mobility: A machine learning approach.

PloS one Sep 3, 2020
BACKGROUND: A country's ability to become a prominent knowledge economy is tied closely to its ability to acquire skilled people who can compete internationally while resolving challenges of the future. To equip students with competence that can only...
Machine Learning Forecasting Students Humans Databases, Factual
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A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database.

Magnetic resonance imaging Sep 2, 2020
PURPOSE: To apply our convolutional neural network (CNN) algorithm to predict neoadjuvant chemotherapy (NAC) response using the I-SPY TRIAL breast MRI dataset.
Magnetic Resonance Imaging Area Under Curve Clinical Trials as Topic Image Processing, Computer-Assisted Treatment Outcome Humans Neoadjuvant Therapy Neural Networks, Computer Databases, Factual Retrospective Studies Female Breast Neoplasms
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Does including machine learning predictions in ALS clinical trial analysis improve statistical power?

Annals of clinical and translational neurology Aug 30, 2020
OBJECTIVE: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease which leads to progressive muscle weakness and eventually death. The increasing availability of large ALS clinical trial datasets have generated much interest in developing...
Linear Models Amyotrophic Lateral Sclerosis Neurodegenerative Diseases Databases, Factual Disease Progression Severity of Illness Index Humans Machine Learning
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Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective.

Journal of healthcare engineering Aug 30, 2020
Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) an...
Electronic Health Records Cell Phone Biomedical Research Big Data Data Science Humans Algorithms Telemedicine Artificial Intelligence Delivery of Health Care Medical Informatics Databases, Factual
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PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text.

BMC medical informatics and decision making Aug 28, 2020
BACKGROUNDS: Knowledge discovery from breast cancer treatment records has promoted downstream clinical studies such as careflow mining and therapy analysis. However, the clinical treatment text from electronic health data might be recorded by differe...
Databases, Factual Electronic Health Records Female Breast Neoplasms Text Messaging Humans Neural Networks, Computer
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Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning.

Nature communications Aug 27, 2020
The early detection and accurate histopathological diagnosis of gastric cancer increase the chances of successful treatment. The worldwide shortage of pathologists offers a unique opportunity for the use of artificial intelligence assistance systems ...
Humans Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Databases, Factual Image Processing, Computer-Assisted Stomach Neoplasms False Positive Reactions
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