AIMC Topic: Young Adult
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Data mining of human plasma proteins generates a multitude of highly predictive aging clocks that reflect different aspects of aging.
Aging cell
Oct 8, 2020
We previously identified 529 proteins that had been reported by multiple different studies to change their expression level with age in human plasma. In the present study, we measured the q-value and age coefficient of these proteins in a plasma prot...
More stringent criteria are needed for diagnosing internet gaming disorder: Evidence from regional brain features and whole-brain functional connectivity multivariate pattern analyses.
Journal of behavioral addictions
Oct 7, 2020
BACKGROUND: Internet gaming disorder (IGD) is included in the DSM-5 as a provisional diagnosis. Whether IGD should be regarded as a disorder and, if so, how it should be defined and thresholded have generated considerable debate.
Internet Addiction Disorder
Default Mode Network
Recreation
Female
Connectome
Young Adult
Adult
Nerve Net
Male
Diagnostic and Statistical Manual of Mental Disorders
Adolescent
Video Games
Humans
Executive Function
Machine Learning
Magnetic Resonance Imaging
Brain
Image Interpretation, Computer-Assisted
Pattern Recognition, Automated
Multivariate Analysis
Deep neural networks detect suicide risk from textual facebook posts.
Scientific reports
Oct 7, 2020
Detection of suicide risk is a highly prioritized, yet complicated task. Five decades of research have produced predictions slightly better than chance (AUCs = 0.56-0.58). In this study, Artificial Neural Network (ANN) models were constructed to pred...
Reconstructing lost BOLD signal in individual participants using deep machine learning.
Nature communications
Oct 7, 2020
Signal loss in blood oxygen level-dependent (BOLD) functional neuroimaging is common and can lead to misinterpretation of findings. Here, we reconstructed compromised fMRI signal using deep machine learning. We trained a model to learn principles gov...
Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video.
Journal of atherosclerosis and thrombosis
Oct 2, 2020
AIM: The clinically meaningful coronary stenosis is diagnosed by trained interventional cardiologists. Whether artificial intelligence (AI) could detect coronary stenosis from CAG video is unclear.
Using machine learning to create prognostic systems for endometrial cancer.
Gynecologic oncology
Oct 2, 2020
OBJECTIVE: We used a novel machine learning algorithm to develop a precision prognostication system for endometrial cancer.
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision.
PLoS computational biology
Oct 2, 2020
Deep feedforward neural network models of vision dominate in both computational neuroscience and engineering. The primate visual system, by contrast, contains abundant recurrent connections. Recurrent signal flow enables recycling of limited computat...
Engaging proactive control: Influences of diverse language experiences using insights from machine learning.
Journal of experimental psychology. General
Oct 1, 2020
We used insights from machine learning to address an important but contentious question: Is bilingual language experience associated with executive control abilities? Specifically, we assess proactive executive control for over 400 young adult biling...
Artificial intelligence in in vitro fertilization: a computer decision support system for day-to-day management of ovarian stimulation during in vitro fertilization.
Fertility and sterility
Oct 1, 2020
OBJECTIVE: To describe a computer algorithm designed for in vitro fertilization (IVF) management and to assess the algorithm's accuracy in the day-to-day decision making during ovarian stimulation for IVF when compared to evidence-based decisions by ...
Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018.
JAMA network open
Oct 1, 2020
IMPORTANCE: The loss of the physiologic cervical lordotic curve is a common degenerative disorder known to be associated with abnormal spinal alignment. However, the changing trends among sex and age groups has not yet been well established.
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