AIMC Topic:
Young Adult
Clear Filters Showing 1951 to 1960 of 4547 articles
Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting.
JAMA network open
Mar 1, 2021
IMPORTANCE: Cervical cancer is highly preventable but remains a common and deadly cancer in areas without screening programs. The creation of a diagnostic system to digitize Papanicolaou test samples and analyze them using a cloud-based deep learning...
Machine Learning Assessment of Early Life Factors Predicting Suicide Attempt in Adolescence or Young Adulthood.
JAMA network open
Mar 1, 2021
IMPORTANCE: Although longitudinal studies have reported associations between early life factors (ie, in-utero/perinatal/infancy) and long-term suicidal behavior, they have concentrated on 1 or few selected factors, and established associations, but d...
Machine learning and bioinformatic analysis of brain and blood mRNA profiles in major depressive disorder: A case-control study.
American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics
Mar 1, 2021
This study analyzed gene expression messenger RNA data, from cases with major depressive disorder (MDD) and controls, using supervised machine learning (ML). We built on the methodology of prior studies to obtain more generalizable/reproducible resul...
External validation of automated focal cortical dysplasia detection using morphometric analysis.
Epilepsia
Feb 27, 2021
OBJECTIVE: Focal cortical dysplasias (FCDs) are a common cause of drug-resistant focal epilepsy but frequently remain undetected by conventional magnetic resonance imaging (MRI) assessment. The visual detection can be facilitated by morphometric anal...
Face the Uncanny: The Effects of Doppelganger Talking Head Avatars on Affect-Based Trust Toward Artificial Intelligence Technology are Mediated by Uncanny Valley Perceptions.
Cyberpsychology, behavior and social networking
Feb 26, 2021
This experiment ( = 228) examined how exposure to a talking head doppelganger created by an artificial intelligence (AI) program influenced affect-based trust toward AIs. Using a 3 (talking head featuring the participant's or a stranger's face, audio...
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences.
Scientific reports
Feb 25, 2021
Alterations in the human microbiome have been observed in a variety of conditions such as asthma, gingivitis, dermatitis and cancer, and much remains to be learned about the links between the microbiome and human health. The fusion of artificial inte...
Machine learning based predictors for COVID-19 disease severity.
Scientific reports
Feb 25, 2021
Predictors of the need for intensive care and mechanical ventilation can help healthcare systems in planning for surge capacity for COVID-19. We used socio-demographic data, clinical data, and blood panel profile data at the time of initial presentat...
Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison.
Journal of neuroengineering and rehabilitation
Feb 25, 2021
BACKGROUND: Advanced prostheses can restore function and improve quality of life for individuals with amputations. Unfortunately, most commercial control strategies do not fully utilize the rich control information from residual nerves and musculatur...
Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings.
Korean journal of radiology
Feb 24, 2021
OBJECTIVE: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach and assess their potential to predict patient management.
Development and Validation of Machine Learning-based Model for the Prediction of Malignancy in Multiple Pulmonary Nodules: Analysis from Multicentric Cohorts.
Clinical cancer research : an official journal of the American Association for Cancer Research
Feb 24, 2021
PURPOSE: Nodule evaluation is challenging and critical to diagnose multiple pulmonary nodules (MPNs). We aimed to develop and validate a machine learning-based model to estimate the malignant probability of MPNs to guide decision-making.
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30572
- Neural Networks, Computer 29484
- Algorithms 26516
- Deep Learning 26004
- Artificial Intelligence 24031
- Robotics 13281
- Image Processing, Computer-Assisted 9378
- Retrospective Studies 8936
- Magnetic Resonance Imaging 6073
- Reproducibility of Results 5538
- Tomography, X-Ray Computed 4678
- Support Vector Machine 4642
- Computational Biology 4189
- Brain 3989
- Computer Simulation 3855
Recent Journals
- Scientific reports 5366
- Sensors (Basel, Switzerland) 4794
- PloS one 3951
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1827
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1120
- Journal of chemical information and modeling 982
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 854
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 820