AIMC Topic: Young Adult

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The relevance of signal timing in human-robot collaborative manipulation.

Science robotics Sep 22, 2021
To achieve a seamless human-robot collaboration, it is crucial that robots express their intentions without perturbating or interrupting the task that a human partner is performing at that moment. Although it has not received much attention so far, t...
Robotics Man-Machine Systems Equipment Design Fixation, Ocular Adult Cues Humans Calibration Artificial Intelligence Movement Male Software User-Computer Interface Female Cognition Young Adult Hand Strength
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Persuasive robots should avoid authority: The effects of formal and real authority on persuasion in human-robot interaction.

Science robotics Sep 22, 2021
Social robots must take on many roles when interacting with people in everyday settings, some of which may be authoritative, such as a nurse, teacher, or guard. It is important to investigate whether and how authoritative robots can influence people ...
User-Computer Interface Persuasive Communication Robotics Motivation Man-Machine Systems Reproducibility of Results Humans Young Adult Artificial Intelligence Adult Social Behavior Female Male Social Interaction Adolescent Group Processes Peer Group
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A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations.

The American journal of tropical medicine and hygiene Sep 20, 2021
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologie...
Child Models, Theoretical Mexico Mass Screening Early Diagnosis Machine Learning Infant South America Retrospective Studies Humans Prevalence Central America Young Adult Female Infant, Newborn Africa Spain Communicable Diseases, Imported Adult Aged Adolescent Cross-Sectional Studies Emigrants and Immigrants Aged, 80 and over Child, Preschool Asia Male Middle Aged
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Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study.

The Lancet. Digital health Sep 16, 2021
BACKGROUND: Inadequate bowel preparation is associated with a decrease in adenoma detection rate (ADR). A deep learning-based bowel preparation assessment system based on the Boston bowel preparation scale (BBPS) has been previously established to ca...
Colonoscopy Deep Learning Young Adult Adenoma Adult Adolescent Humans Models, Biological Colorectal Neoplasms Mass Screening Prospective Studies Middle Aged Early Detection of Cancer Retrospective Studies Colon Female Aged
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Multicenter Validation of a Deep Learning Detection Algorithm for Focal Cortical Dysplasia.

Neurology Sep 14, 2021
BACKGROUND AND OBJECTIVE: To test the hypothesis that a multicenter-validated computer deep learning algorithm detects MRI-negative focal cortical dysplasia (FCD).
Malformations of Cortical Development Child Female Imaging, Three-Dimensional Male Magnetic Resonance Imaging Young Adult Middle Aged Image Interpretation, Computer-Assisted Adult Deep Learning Humans Neuroimaging Adolescent Child, Preschool
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Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Sep 10, 2021
OBJECTIVE: The aim of this study was to evaluate an automatic, deep learning based method (Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum aortic diameter, providing cross sectional outer to outer aortic wall measureme...
Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Automation Computed Tomography Angiography Aortography Male Middle Aged Deep Learning Treatment Outcome Predictive Value of Tests Humans Neural Networks, Computer Databases, Factual Retrospective Studies Aged, 80 and over Young Adult Adult Female Reproducibility of Results Aged
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Automated machine learning for endemic active tuberculosis prediction from multiplex serological data.

Scientific reports Sep 9, 2021
Serological diagnosis of active tuberculosis (TB) is enhanced by detection of multiple antibodies due to variable immune responses among patients. Clinical interpretation of these complex datasets requires development of suitable algorithms, a time c...
Adult Male Models, Theoretical Tuberculosis Humans Machine Learning Retrospective Studies Female Young Adult
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Artificial neural network for the prediction model of glomerular filtration rate to estimate the normal or abnormal stages of kidney using gamma camera.

Annals of nuclear medicine Sep 7, 2021
OBJECTIVE: Chronic kidney disease (CKD) is evaluated based on glomerular filtration rate (GFR) using a gamma camera in the nuclear medicine center or hospital in a routine procedure, but the gamma camera does not provide the accurate stages of the di...
Humans Neural Networks, Computer Gamma Cameras Middle Aged Kidney Renal Insufficiency, Chronic Female Glomerular Filtration Rate Aged Radionuclide Imaging Young Adult Adult Male
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MRI-Based Machine Learning Prediction Framework to Lateralize Hippocampal Sclerosis in Patients With Temporal Lobe Epilepsy.

Neurology Sep 2, 2021
BACKGROUND AND OBJECTIVES: MRI fails to reveal hippocampal pathology in 30% to 50% of temporal lobe epilepsy (TLE) surgical candidates. To address this clinical challenge, we developed an automated MRI-based classifier that lateralizes the side of co...
Hippocampus Neuroimaging Epilepsy, Temporal Lobe Functional Laterality Sclerosis Humans Adolescent Machine Learning Adult Magnetic Resonance Imaging Female Male Image Interpretation, Computer-Assisted Young Adult Middle Aged
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Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy.

Scientific reports Sep 1, 2021
The manual reading of capsule endoscopy (CE) videos in small bowel disease diagnosis is time-intensive. Algorithms introduced to automate this process are premature for real clinical applications, and multi-diagnosis using these methods has not been ...
Humans Neural Networks, Computer Algorithms Prognosis Retrospective Studies Male Middle Aged Adolescent Follow-Up Studies Female Capsule Endoscopy Aged Intestinal Diseases Aged, 80 and over Young Adult Adult
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