AIMC Topic: Humans

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Future development of artificial organs related with cutting edge emerging technology and their regulatory assessment: PMDA's perspective.

Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs Feb 28, 2020
Future development of innovative artificial organs is closely related with cutting edge emerging technology. These technologies include brain machine or computer interface, organs made by three dimensional bioprinting, organs designed from induced-pl...
Japan Artificial Organs Device Approval Drug Approval Biotechnology Humans Artificial Intelligence
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Big data in IBD: big progress for clinical practice.

Gut Feb 28, 2020
IBD is a complex multifactorial inflammatory disease of the gut driven by extrinsic and intrinsic factors, including host genetics, the immune system, environmental factors and the gut microbiome. Technological advancements such as next-generation se...
Humans Inflammatory Bowel Diseases Risk Assessment Gene Expression Profiling Machine Learning Precision Medicine Prognosis Image Interpretation, Computer-Assisted Metagenomics Proteomics Gastrointestinal Microbiome Translational Research, Biomedical Big Data Genomics
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CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.

European radiology Feb 28, 2020
PURPOSE: Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is also a risk factor for recurrence and worse prognosis of lung adenocarcinoma. The aims of this study are to develop and validate a computed tomography ...
Neoplasm Recurrence, Local Adenocarcinoma of Lung Logistic Models Neoplasm Invasiveness Sensitivity and Specificity Male Middle Aged ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Female Risk Factors Machine Learning Retrospective Studies Humans
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Broad-Spectrum Profiling of Drug Safety via Learning Complex Network.

Clinical pharmacology and therapeutics Feb 28, 2020
Drug safety is a severe clinical pharmacology and toxicology problem that has caused immense medical and social burdens every year. Regretfully, a reproducible method to assess drug safety systematically and quantitatively is still missing. In this s...
Humans Drug Evaluation, Preclinical Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Machine Learning Animals Drug Discovery
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Using machine learning to classify suicide attempt history among youth in medical care settings.

Journal of affective disorders Feb 28, 2020
BACKGROUND: The current study aimed to classify recent and lifetime suicide attempt history among youth presenting to medical settings using machine learning (ML) as applied to a behavioral health screen self-report survey.
Cross-Sectional Studies Humans Male Self-Injurious Behavior Machine Learning Suicide, Attempted Female Pennsylvania Algorithms Adolescent Risk Factors Suicidal Ideation Emergency Service, Hospital
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Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy.

Medical image analysis Feb 28, 2020
There are two challenges associated with the interpretability of deep learning models in medical image analysis applications that need to be addressed: confidence calibration and classification uncertainty. Confidence calibration associates the class...
Uncertainty Deep Learning Bayes Theorem Calibration Reproducibility of Results Humans Colonoscopy
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Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints.

Medical image analysis Feb 28, 2020
The extreme variability of the folding pattern of the human cortex makes the recognition of cortical sulci, both automatic and manual, particularly challenging. Reliable identification of the human cortical sulci in its entirety, is extremely difficu...
Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted
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Resilient fault-tolerant anti-synchronization for stochastic delayed reaction-diffusion neural networks with semi-Markov jump parameters.

Neural networks : the official journal of the International Neural Network Society Feb 28, 2020
This paper deals with the anti-synchronization issue for stochastic delayed reaction-diffusion neural networks subject to semi-Markov jump parameters. A resilient fault-tolerant controller is utilized to ensure the anti-synchronization in the presenc...
Humans Stochastic Processes Neural Networks, Computer Diffusion Markov Chains
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Real-time markerless tumour tracking with patient-specific deep learning using a personalised data generation strategy: proof of concept by phantom study.

The British journal of radiology Feb 28, 2020
OBJECTIVE: For real-time markerless tumour tracking in stereotactic lung radiotherapy, we propose a different approach which uses patient-specific deep learning (DL) using a personalised data generation strategy, avoiding the need for collection of a...
Humans Movement Deep Learning Four-Dimensional Computed Tomography Image Processing, Computer-Assisted Fluoroscopy Lung Neoplasms Feasibility Studies Phantoms, Imaging
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A novel CNN based Alzheimer's disease classification using hybrid enhanced ICA segmented gray matter of MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 28, 2020
Predicting Alzheimer's Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) has become wide. Recent advancement in neuroimaging in adoption with machine learning techniques are especially useful for pattern recognition of medic...
Early Diagnosis Diagnosis, Computer-Assisted Neuroimaging Humans Alzheimer Disease Gray Matter Neural Networks, Computer Image Interpretation, Computer-Assisted
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