AIMC Topic: Young Adult

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The artificial intelligence-assisted cytology diagnostic system in large-scale cervical cancer screening: A population-based cohort study of 0.7 million women.

Cancer medicine Jul 22, 2020
BACKGROUND: Adequate cytology is limited by insufficient cytologists in a large-scale cervical cancer screening. We aimed to develop an artificial intelligence (AI)-assisted cytology system in cervical cancer screening program.
Cytodiagnosis Uterine Cervical Dysplasia Colposcopy Humans Female Reproducibility of Results Aged Young Adult China Vaginal Smears Early Detection of Cancer Predictive Value of Tests Neoplasm Grading Biopsy Adult Uterine Cervical Neoplasms Middle Aged Diagnosis, Computer-Assisted Deep Learning
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Use of AI-based tools for healthcare purposes: a survey study from consumers' perspectives.

BMC medical informatics and decision making Jul 22, 2020
BACKGROUND: Several studies highlight the effects of artificial intelligence (AI) systems on healthcare delivery. AI-based tools may improve prognosis, diagnostics, and care planning. It is believed that AI will be an integral part of healthcare serv...
Health Facilities Humans Artificial Intelligence Male Delivery of Health Care Middle Aged Female Surveys and Questionnaires Young Adult Decision Support Systems, Clinical Adult United States
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Cortical surface registration using unsupervised learning.

NeuroImage Jul 20, 2020
Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject variability. A conventional solution is to use a spherical representation of surface propert...
Adult Humans Magnetic Resonance Imaging Male Female Unsupervised Machine Learning Aging Aged Deep Learning Aged, 80 and over Alzheimer Disease Cognitive Dysfunction Young Adult Neuroimaging Models, Theoretical Cerebral Cortex
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Neural dynamics of perceptual inference and its reversal during imagery.

eLife Jul 20, 2020
After the presentation of a visual stimulus, neural processing cascades from low-level sensory areas to increasingly abstract representations in higher-level areas. It is often hypothesised that a reversal in neural processing underlies the generatio...
Mental Processes Young Adult Adult Spatio-Temporal Analysis Neural Pathways Humans Perception Machine Learning Magnetoencephalography
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Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm.

The international journal of cardiovascular imaging Jul 16, 2020
To investigate the performance of a deep learning-based algorithm for fully automated quantification of left ventricular (LV) volumes and function in cardiac MRI. We retrospectively analysed MR examinations of 50 patients (74% men, median age 57 year...
Automation Magnetic Resonance Imaging, Cine Predictive Value of Tests Feasibility Studies Heart Ventricles Heart Diseases Image Interpretation, Computer-Assisted Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Ventricular Function, Left Middle Aged Diagnosis, Computer-Assisted Deep Learning Adolescent Humans Retrospective Studies Female
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Outcome prediction with resting-state functional connectivity after cardiac arrest.

Scientific reports Jul 16, 2020
Predicting outcome in comatose patients after successful cardiopulmonary resuscitation is challenging. Our primary aim was to assess the potential contribution of resting-state-functional magnetic resonance imaging (RS-fMRI) in predicting neurologica...
Cardiopulmonary Resuscitation Heart Arrest Coma Brain Mapping Consciousness Neural Pathways Nerve Net Thalamus Prognosis Clinical Decision-Making Female Aged Aged, 80 and over Humans Young Adult Machine Learning Adult Prospective Studies Male Middle Aged Adolescent Magnetic Resonance Imaging
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Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons Jul 15, 2020
Clinical decision-making in kidney transplant (KT) during the coronavirus disease 2019 (COVID-19) pandemic is understandably a conundrum: both candidates and recipients may face increased acquisition risks and case fatality rates (CFRs). Given our po...
COVID-19 Kidney Transplantation Female Infant, Newborn Child, Preschool SARS-CoV-2 Child Aged Tissue Donors Young Adult United States Humans Adult Kidney Failure, Chronic Machine Learning Male Waiting Lists Pandemics Middle Aged Infant Adolescent
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Predicting respiratory failure after pulmonary lobectomy using machine learning techniques.

Surgery Jul 15, 2020
BACKGROUND: When pulmonary complications occur, postlobectomy patients have a higher mortality rate, increased length of stay, and higher readmission rates. Because of a lack of high-quality consolidated clinical data, it is challenging to assess and...
Humans Machine Learning Clinical Decision-Making Female Risk Factors Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Adolescent Male Pneumonectomy Middle Aged Respiratory Insufficiency Risk Assessment Postoperative Complications Lung
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Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software.

European journal of nuclear medicine and molecular imaging Jul 14, 2020
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) is an emerging worldwide threat to public health. While chest computed tomography (CT) plays an indispensable role in its diagnosis, the quantification and localization of lesions cannot be ac...
Humans Software Pandemics COVID-19 Young Adult Adult Male Middle Aged Lung Deep Learning Retrospective Studies Female SARS-CoV-2 Aged Aged, 80 and over Linear Models Adolescent Multidetector Computed Tomography Child Clinical Laboratory Techniques Reverse Transcriptase Polymerase Chain Reaction Betacoronavirus Coronavirus Infections Pneumonia, Viral COVID-19 Testing
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Predicting PET Cerebrovascular Reserve with Deep Learning by Using Baseline MRI: A Pilot Investigation of a Drug-Free Brain Stress Test.

Radiology Jul 14, 2020
Background Cerebrovascular reserve (CVR) may be measured by using an acetazolamide test to clinically evaluate patients with cerebrovascular disease. However, acetazolamide use may be contraindicated and/or undesirable in certain clinical settings. P...
Cerebrovascular Circulation Moyamoya Disease Brain Female Young Adult Adult Male Middle Aged Deep Learning Pilot Projects Humans Adolescent Magnetic Resonance Imaging Positron-Emission Tomography
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