AIMC Topic: Humans
Showing 65661 to 65670 of 95995 articles
Radiological images and machine learning: Trends, perspectives, and prospects.
Computers in biology and medicine
Feb 27, 2019
The application of machine learning to radiological images is an increasingly active research area that is expected to grow in the next five to ten years. Recent advances in machine learning have the potential to recognize and classify complex patter...
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Medical image analysis
Feb 27, 2019
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is a highly subjective and labor-intensive task. Previous efforts to automate tumor prolifera...
Decision Fusion-Based Fetal Ultrasound Image Plane Classification Using Convolutional Neural Networks.
Ultrasound in medicine & biology
Feb 27, 2019
Machine learning for ultrasound image analysis and interpretation can be helpful in automated image classification in large-scale retrospective analyses to objectively derive new indicators of abnormal fetal development that are embedded in ultrasoun...
Movement time and guidance accuracy in teleoperation of robotic vehicles.
Ergonomics
Feb 27, 2019
Two experiments are reported on the steering of a tracked vehicle through straight-line courses and corners to determine the relationships between movement time and control accuracy with the geometry of the course, such as the vehicle width, the trac...
Distributed learning from multiple EHR databases: Contextual embedding models for medical events.
Journal of biomedical informatics
Feb 27, 2019
Electronic health record (EHR) data provide promising opportunities to explore personalized treatment regimes and to make clinical predictions. Compared with regular clinical data, EHR data are known for their irregularity and complexity. In addition...
Stress detection in daily life scenarios using smart phones and wearable sensors: A survey.
Journal of biomedical informatics
Feb 27, 2019
Stress has become a significant cause for many diseases in the modern society. Recently, smartphones, smartwatches and smart wrist-bands have become an integral part of our lives and have reached a widespread usage. This raised the question of whethe...
Introduction to artificial intelligence in medicine.
Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
Feb 27, 2019
The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a conference held on this subject. However, the possibility of machines being able to simulate human behavior and actually think was raised earlier by Alan Turing who de...
Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics.
ESC heart failure
Feb 27, 2019
AIMS: Machine learning (ML) is widely believed to be able to learn complex hidden interactions from the data and has the potential in predicting events such as heart failure (HF) readmission and death. Recent studies have revealed conflicting results...
Functional brain networks and neuroanatomy underpinning nausea severity can predict nausea susceptibility using machine learning.
The Journal of physiology
Feb 27, 2019
KEY POINTS: Nausea is an adverse experience characterised by alterations in autonomic and cerebral function. Susceptibility to nausea is difficult to predict, but machine learning has yet to be applied to this field of study. The severity of nausea t...
An Enhancement of Deep Learning Algorithm for Brain Tumor Segmentation Using Kernel Based CNN with M-SVM.
Journal of medical systems
Feb 27, 2019
The brain tumor can be created by uncontrollable increase of abnormal cells in tissue of brain and it has two kinds of tumors: one is benign and another one is malignant tumor. The benign brain tumor does not affect the adjacent normal and healthy ti...
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