AIMC Topic: Humans

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Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification.

IEEE journal of biomedical and health informatics Sep 23, 2019
Deep learning has been used to analyze and diagnose various skin diseases through medical imaging. However, recent researches show that a well-trained deep learning model may not generalize well to data from different cohorts due to domain shift. Sim...
Deep Learning Skin Skin Diseases Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Databases, Factual Melanoma
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Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears.

IEEE journal of biomedical and health informatics Sep 23, 2019
OBJECTIVE: This work investigates the possibility of automated malaria parasite detection in thick blood smears with smartphones.
Hematologic Tests Parasitology Humans Neural Networks, Computer Deep Learning Smartphone Predictive Value of Tests Plasmodium falciparum Malaria Image Interpretation, Computer-Assisted
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Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches.

Journal of cardiovascular computed tomography Sep 23, 2019
BACKGROUND: Machine learning (ML) is a computer algorithm used to identify patterns for prediction in various tasks, and ML methods have been beneficial for developing prediction models when applied to heterogeneous and large datasets. We aim to exam...
Asymptomatic Diseases Risk Factors Risk Assessment Prognosis Coronary Angiography Time Factors Adult Retrospective Studies Registries Male Humans Health Status Republic of Korea Coronary Artery Disease Middle Aged Machine Learning Predictive Value of Tests Female Vascular Calcification Decision Support Techniques Databases, Factual
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Making the Jump: A Qualitative Analysis on the Transition From Bedside Assistant to Console Surgeon in Robotic Surgery Training.

Journal of surgical education Sep 23, 2019
OBJECTIVE: To determine barriers associated with the transition from bedside assistant to console surgeon for general surgery residents in the era of robotic surgery in general surgery training.
Robotics Robotic Surgical Procedures Curriculum Internship and Residency Humans Surgeons
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Automated Assessment of Oral Diadochokinesis in Multiple Sclerosis Using a Neural Network Approach: Effect of Different Syllable Repetition Paradigms.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 23, 2019
Slow and irregular oral diadochokinesis represents an important manifestation of spastic and ataxic dysarthria in multiple sclerosis (MS). We aimed to develop a robust algorithm based on convolutional neural networks for the accurate detection of syl...
Algorithms Female Reproducibility of Results Aged Humans Neural Networks, Computer Deep Learning Adolescent Multiple Sclerosis Psychomotor Performance Acoustic Stimulation Young Adult Adult Male Middle Aged Dysarthria Speech Articulation Tests Articulation Disorders
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Sensitivity Analysis and Extensions of Testing the Causal Direction of Dependence: A Rejoinder to Thoemmes (2019).

Multivariate behavioral research Sep 23, 2019
A commentary by Thoemmes on Wiedermann and Sebastian's introductory article on Direction Dependence Analysis (DDA) is responded to in the interest of elaborating and extending direction dependence principles to evaluate causal effect directionality. ...
Causality Models, Statistical Humans Psychology Linear Models Machine Learning Models, Econometric Sensitivity and Specificity Models, Theoretical
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Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm.

Clinical cancer research : an official journal of the American Association for Cancer Research Sep 23, 2019
PURPOSE: Patients with 1p/19q codeleted low-grade glioma (LGG) have longer overall survival and better treatment response than patients with 1p/19q intact tumors. Therefore, it is relevant to know the 1p/19q status. To investigate whether the 1p/19q ...
ROC Curve Glioma Magnetic Resonance Imaging Mutation Cytogenetic Analysis Chromosomes, Human, Pair 1 Chromosomes, Human, Pair 19 Female Isocitrate Dehydrogenase Brain Neoplasms Chromosome Deletion Humans Male Machine Learning Middle Aged Algorithms
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Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach.

International journal of medical informatics Sep 23, 2019
INTRODUCTION: Depressive disorder is one of the major public health problems among the elderly. An effective depression risk prediction model can provide insights on the disease progression and potentially inform timely targeted interventions. Theref...
Humans Neural Networks, Computer Deep Learning Precision Medicine Longitudinal Studies Depressive Disorder Female Aged Male Disease Progression
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Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 23, 2019
Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner for stroke survivors. To facilitate rehabilitation of the wrist and fingers joint, an electromechanical exoskeleton was developed that simultaneously m...
Finite Element Analysis Stroke Rehabilitation Male Finger Joint Female Humans Middle Aged Feedback, Sensory Aged Pilot Projects Young Adult Wrist Treatment Outcome Adolescent Adult Developing Countries Muscle, Skeletal Range of Motion, Articular Recovery of Function Exoskeleton Device Robotics
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Deep-learning model for predicting 30-day postoperative mortality.

British journal of anaesthesia Sep 23, 2019
BACKGROUND: Postoperative mortality occurs in 1-2% of patients undergoing major inpatient surgery. The currently available prediction tools using summaries of intraoperative data are limited by their inability to reflect shifting risk associated with...
Risk Assessment Postoperative Complications Comorbidity Deep Learning Support Vector Machine Predictive Value of Tests Missouri Surgical Procedures, Operative Postoperative Period Humans Neural Networks, Computer Algorithms Retrospective Studies
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