AIMC Topic: Young Adult

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Effect of Artificial Intelligence Tutoring vs Expert Instruction on Learning Simulated Surgical Skills Among Medical Students: A Randomized Clinical Trial.

JAMA network open Feb 1, 2022
IMPORTANCE: To better understand the emerging role of artificial intelligence (AI) in surgical training, efficacy of AI tutoring systems, such as the Virtual Operative Assistant (VOA), must be tested and compared with conventional approaches.
Canada General Surgery Education, Medical Simulation Training Artificial Intelligence Female Young Adult Adult Clinical Competence Virtual Reality Educational Measurement Students, Medical Male Humans
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A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations.

Sensors (Basel, Switzerland) Feb 1, 2022
Spirometers are important devices for following up patients with respiratory diseases. These are mainly located only at hospitals, with all the disadvantages that this can entail. This limits their use and consequently, the supervision of patients. R...
Humans Machine Learning Algorithms Female Aged Lung Adolescent Young Adult Child, Preschool Adult Spirometry Male Exhalation Middle Aged
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Effect of head motion-induced artefacts on the reliability of deep learning-based whole-brain segmentation.

Scientific reports Jan 31, 2022
Due to their robustness and speed, recently developed deep learning-based methods have the potential to provide a faster and hence more scalable alternative to more conventional neuroimaging analysis pipelines in terms of whole-brain segmentation bas...
Head Neuroimaging Head Movements Deep Learning Reproducibility of Results Humans Image Processing, Computer-Assisted Young Adult Brain Magnetic Resonance Imaging Adult Female Artifacts Male
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Propofol Anesthesia Depth Monitoring Based on Self-Attention and Residual Structure Convolutional Neural Network.

Computational and mathematical methods in medicine Jan 29, 2022
METHODS: We compare nine index values, select CNN+EEG, which has good correlation with BIS index, as an anesthesia state observation index to identify the parameters of the model, and establish a model based on self-attention and dual resistructure c...
Middle Aged Aged, 80 and over Humans Deep Learning Neural Networks, Computer Intraoperative Neurophysiological Monitoring Anesthetics, Intravenous Propofol Young Adult Computational Biology Algorithms Electroencephalography Attention Adult Aged Male
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The Role of Decision Authority and Stated Social Intent as Predictors of Trust in Autonomous Robots.

Topics in cognitive science Jan 27, 2022
Prior research has demonstrated that trust in robots and performance of robots are two important factors that influence human-autonomy teaming. However, other factors may influence users' perceptions and use of autonomous systems, such as perceived i...
Humans Adult Male Trust Decision Making Female Robotics Young Adult Intention Social Perception
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Frameless robot-assisted stereotactic biopsies for lesions of the brainstem-a series of 103 consecutive biopsies.

Journal of neuro-oncology Jan 27, 2022
PURPOSE: Targeted treatment for brainstem lesions requires above all a precise histopathological and molecular diagnosis. In the current technological era, robot-assisted stereotactic biopsies represent an accurate and safe procedure for tissue diagn...
Brain Neoplasms Middle Aged Brain Stem Infant Adolescent Humans Robotics Child, Preschool Retrospective Studies Biopsy Aged Stereotaxic Techniques Child Young Adult Adult
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DNA Methylation Biomarkers-Based Human Age Prediction Using Machine Learning.

Computational intelligence and neuroscience Jan 24, 2022
PURPOSE: Age can be an important clue in uncovering the identity of persons that left biological evidence at crime scenes. With the availability of DNA methylation data, several age prediction models are developed by using statistical and machine lea...
Young Adult Adult DNA Methylation Humans Machine Learning Aging Linear Models Infant Middle Aged Biomarkers Adolescent Aged Child, Preschool Aged, 80 and over Child
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Evaluation of deep convolutional neural networks for in situ hybridization gene expression image representation.

PloS one Jan 24, 2022
High resolution in situ hybridization (ISH) images of the brain capture spatial gene expression at cellular resolution. These spatial profiles are key to understanding brain organization at the molecular level. Previously, manual qualitative scoring ...
Male Middle Aged Transcriptome Case-Control Studies Datasets as Topic In Situ Hybridization Schizophrenia Brain Image Interpretation, Computer-Assisted Female Young Adult Adult Humans Neural Networks, Computer Machine Learning
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An Unsupervised Deep Learning Approach for Dynamic-Exponential Intravoxel Incoherent Motion MRI Modeling and Parameter Estimation in the Liver.

Journal of magnetic resonance imaging : JMRI Jan 22, 2022
BACKGROUND: Dynamic-exponential intravoxel incoherent motion (IVIM) imaging is a potential technique for prediction, monitoring, and differential diagnosis of hepatic diseases, especially liver tumors. However, the use of such technique at voxel leve...
Male Deep Learning Liver Motion Prospective Studies Reproducibility of Results Young Adult Adult Diffusion Magnetic Resonance Imaging Humans
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Twenty seconds of visual behaviour on social media gives insight into personality.

Scientific reports Jan 21, 2022
Eye tracking allows the researcher to capture individual differences in the expression of visual exploration behaviour, which in certain contexts has been found to reflect aspects of the user's preferences and personality. In a novel approach, we rec...
Young Adult Adult Male Middle Aged Eye-Tracking Technology Humans Machine Learning Female Time Factors Individuality Social Networking Personality Adolescent Eye Movements User-Computer Interface
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