AIMC Topic: Humans
Showing 66821 to 66830 of 95995 articles
Computer Aided Diagnosis System for multiple sclerosis disease based on phase to amplitude coupling in covert visual attention.
Computer methods and programs in biomedicine
Nov 24, 2018
BACKGROUND AND OBJECTIVE: Computer Aided Diagnosis (CAD) techniques have widely been used in research to detect the neurological abnormalities and improve the consistency of diagnosis and treatment in medicine. In this study, a new CAD system based o...
High rates of atherogenic dyslipidemia, β-cell function loss, and microangiopathy among Turkish migrants with T2DM.
Diabetes & metabolic syndrome
Nov 24, 2018
AIMS: Non-Caucasian migrants require dedicated approaches in diabetes management due to specific genetic; socio-cultural; demographic and anthropological determinants. Documenting such phenotypes allows for better understanding unmet needs and manage...
Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.
Academic radiology
Nov 23, 2018
RATIONALE AND OBJECTIVES: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a significant negative impact on the quality of life and accelerate progression of the disease. Functional respiratory imaging (FRI) has the potential t...
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.
Artificial intelligence in medicine
Nov 23, 2018
This paper explores cutting-edge deep learning methods for information extraction from medical imaging free text reports at a multi-institutional scale and compares them to the state-of-the-art domain-specific rule-based system - PEFinder and traditi...
The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.
Emergency medicine Australasia : EMA
Nov 23, 2018
OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques.
Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning.
Artificial intelligence in medicine
Nov 23, 2018
The conciliation of multiple single-disease guidelines for comorbid patients entails solving potential clinical interactions, discovering synergies in the diagnosis and the recommendations, and managing clinical equipoise situations. Personalized con...
Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model.
Medical & biological engineering & computing
Nov 23, 2018
The aim of medical image fusion is to improve the clinical diagnosis accuracy, so the fused image is generated by preserving salient features and details of the source images. This paper designs a novel fusion scheme for CT and MRI medical images bas...
Precision immunoprofiling by image analysis and artificial intelligence.
Virchows Archiv : an international journal of pathology
Nov 23, 2018
Clinical success of immunotherapy is driving the need for new prognostic and predictive assays to inform patient selection and stratification. This requirement can be met by a combination of computational pathology and artificial intelligence. Here, ...
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Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy.
Musculoskeletal science & practice
Nov 23, 2018
INTRODUCTION: Artificial intelligence (AI) is a field of mathematical engineering which has potential to enhance healthcare through new care delivery strategies, informed decision making and facilitation of patient engagement. Machine learning (ML) i...
A nurse-driven method for developing artificial intelligence in "smart" homes for aging-in-place.
Nursing outlook
Nov 23, 2018
OBJECTIVES: To offer practical guidance to nurse investigators interested in multidisciplinary research that includes assisting in the development of artificial intelligence (AI) algorithms for "smart" health management and aging-in-place.
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