AIMC Topic: Humans

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Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate.

Medical image analysis Apr 6, 2019
Early detection and localization of prostate tumors pose a challenge to the medical community. Several imaging techniques, including PET, have shown some success. But no robust and accurate solution has yet been reached. This work aims to detect pros...
Radiopharmaceuticals Prostatic Neoplasms Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Aged Unsupervised Machine Learning Anatomic Landmarks Positron Emission Tomography Computed Tomography Male Middle Aged Imaging, Three-Dimensional
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Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks.

Sensors (Basel, Switzerland) Apr 6, 2019
Human falls are a global public health issue resulting in over 37.3 million severe injuries and 646,000 deaths yearly. Falls result in direct financial cost to health systems and indirectly to society productivity. Unsurprisingly, human fall detectio...
Deep Learning Accidental Falls Biosensing Techniques Humans Neural Networks, Computer Machine Learning Algorithms
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Use of Machine Learning in the Analysis of Indoor ELF MF Exposure in Children.

International journal of environmental research and public health Apr 6, 2019
Characterization of children exposure to extremely low frequency (ELF) magnetic fields is an important issue because of the possible correlation of leukemia onset with ELF exposure. Cluster analysis-a Machine Learning approach-was applied on personal...
Humans Machine Learning Infant, Newborn Child Cluster Analysis Environmental Exposure Schools Infant Adolescent Child, Preschool Housing France Magnetic Fields Electricity
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Continuous learning in single-incremental-task scenarios.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2019
It was recently shown that architectural, regularization and rehearsal strategies can be used to train deep models sequentially on a number of disjoint tasks without forgetting previously acquired knowledge. However, these strategies are still unsati...
Deep Learning Photic Stimulation Recognition, Psychology Humans
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Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.

British journal of anaesthesia Apr 5, 2019
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART). We sought to investigate the potential heterog...
Pulmonary Alveoli Clinical Protocols Respiratory Distress Syndrome Positive-Pressure Respiration Bayes Theorem Adolescent Hospital Mortality Cluster Analysis Female Male Young Adult Aged Humans Middle Aged Adult Aged, 80 and over Machine Learning
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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Lipids Algorithms Cerebral Hemorrhage Humans Angiography Bayes Theorem Female Machine Learning Necrosis Carotid Stenosis Reproducibility of Results Carotid Arteries Middle Aged Aged Plaque, Amyloid Carotid Artery, Common Sensitivity and Specificity Contrast Media Male Plaque, Atherosclerotic Calcinosis
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Robust optic disc and cup segmentation with deep learning for glaucoma detection.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 5, 2019
Glaucoma is rated as the leading cause of irreversible vision loss worldwide. Early detection of glaucoma is important for providing timely treatment and minimizing the vision loss. In this paper, we developed a robust segmentation method for optic d...
Humans Deep Learning Glaucoma Databases, Factual Optic Disk
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Comment on: cost analysis of assisted robotic sleeve gastrectomy compared to laparoscopic sleeve gastrectomy in a single academic center: debunking a myth.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery Apr 5, 2019
Robotic Surgical Procedures Humans Gastrectomy Robotics Obesity, Morbid Laparoscopy
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Holding Robots Responsible: The Elements of Machine Morality.

Trends in cognitive sciences Apr 5, 2019
As robots become more autonomous, people will see them as more responsible for wrongdoing. Moral psychology suggests that judgments of robot responsibility will hinge on perceived situational awareness, intentionality, and free will, plus human liken...
Social Responsibility Personal Autonomy Morals Humans Robotics
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Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Apr 5, 2019
Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to identify imaging features, machine learning approaches automatically...
Humans Artificial Intelligence Canada Societies, Medical Radiology Radiologists Practice Guidelines as Topic
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