AIMC Topic: Young Adult

Clear Filters Showing 2141 to 2150 of 4553 articles

Estimating Nonfatal Gunshot Injury Locations With Natural Language Processing and Machine Learning Models.

JAMA network open Oct 1, 2020
IMPORTANCE: Nonfatal gunshot injuries are the most common firearm injury, but where they frequently occur remains unclear owing to data limitations. Natural language processing can be applied to medical text narratives of gunshot injury records to cl...
Firearms Wounds, Gunshot United States Models, Statistical Emergency Medical Services Humans Natural Language Processing Machine Learning Accidents Female Young Adult Adult Cross-Sectional Studies Male Middle Aged Adolescent
View on PubMed DOI

Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs.

Scientific reports Oct 1, 2020
Facial photographs of the subjects are often used in the diagnosis process of orthognathic surgery. The aim of this study was to determine whether convolutional neural networks (CNNs) can judge soft tissue profiles requiring orthognathic surgery usin...
Humans Neural Networks, Computer Female Face Malocclusion Orthognathic Surgical Procedures Reproducibility of Results Dentofacial Deformities Young Adult Photography, Dental Adult Male Deep Learning
View on PubMed DOI

Bruise dating using deep learning.

Journal of forensic sciences Sep 29, 2020
The bruise dating can have important medicolegal implications in family violence and violence against women cases. However, studies show that the medical specialist has 50% accuracy in classifying a bruise by age, mainly due to the variability of the...
Datasets as Topic Photography Contusions Humans Neural Networks, Computer Male Female Deep Learning Aged Time Factors Young Adult Image Processing, Computer-Assisted Adult Forensic Medicine Sensitivity and Specificity
View on PubMed DOI

Bone age assessment based on deep convolution neural network incorporated with segmentation.

International journal of computer assisted radiology and surgery Sep 28, 2020
PURPOSE: Bone age assessment is not only an important means of assessing maturity of adolescents, but also plays an indispensable role in the fields of orthodontics, kinematics, pediatrics, forensic science, etc. Most studies, however, do not take in...
Adolescent Child, Preschool Child Image Processing, Computer-Assisted Bone and Bones X-Rays Neural Networks, Computer Female Young Adult Male Infant Humans
View on PubMed DOI

THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand.

Diabetic medicine : a journal of the British Diabetic Association Sep 27, 2020
AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for detecting referable diabetic retinopathy and maculopathy, while maintaining high specificity for non-referable disease, for clinical implementation within...
Humans Diabetic Retinopathy Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Artificial Intelligence Algorithms Retrospective Studies Female Aged Implementation Science Diabetes Mellitus Mass Screening Triage Middle Aged New Zealand Adolescent Retina Child Image Processing, Computer-Assisted
View on PubMed DOI

Deep Learning-Based Approach for the Diagnosis of Moyamoya Disease.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 25, 2020
OBJECTIVES: Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic bilateral stenosis of the internal carotid arteries and by the formation of an abnormal vascular network called moyamoya vessels. In this stury, the au...
Image Interpretation, Computer-Assisted Moyamoya Disease Intracranial Arteriosclerosis Humans Retrospective Studies Female Reproducibility of Results Deep Learning Adolescent Magnetic Resonance Imaging Diagnosis, Differential Predictive Value of Tests Young Adult Adult Male Middle Aged Diagnosis, Computer-Assisted
View on PubMed DOI

The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice.

PloS one Sep 25, 2020
Research investigating the nature and scope of developmental participation patterns leading to international senior-level success is mainly explorative up to date. One of the criticisms of earlier research was its typical multiple testing for many in...
Awards and Prizes Humans Male Female Supervised Machine Learning Young Adult Athletic Performance Adult Internationality Sports
View on PubMed DOI

Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence.

Radiology Sep 24, 2020
Background Radiologists are proficient in differentiating between chest radiographs with and without symptoms of pneumonia but have found it more challenging to differentiate coronavirus disease 2019 (COVID-19) pneumonia from non-COVID-19 pneumonia o...
Radiography, Thoracic Male Middle Aged Lung Adolescent Radiographic Image Interpretation, Computer-Assisted Humans Aged, 80 and over Artificial Intelligence Young Adult COVID-19 Adult Retrospective Studies Sensitivity and Specificity Female SARS-CoV-2 Aged
View on PubMed DOI

Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer.

EBioMedicine Sep 24, 2020
BACKGROUND: Completion axillary lymph node dissection is overtreatment for patients with sentinel lymph node (SLN) metastasis in whom the metastatic risk of residual non-SLN (NSLN) is low. However, the National Comprehensive Cancer Network panel posi...
Humans Retrospective Studies Female Aged Lymphatic Metastasis Young Adult Ultrasonography Axilla Adult Multicenter Studies as Topic ROC Curve Breast Neoplasms Image Processing, Computer-Assisted Middle Aged Computational Biology Deep Learning Lymph Nodes
View on PubMed DOI

Intensity harmonization techniques influence radiomics features and radiomics-based predictions in sarcoma patients.

Scientific reports Sep 23, 2020
Intensity harmonization techniques (IHT) are mandatory to homogenize multicentric MRIs before any quantitative analysis because signal intensities (SI) do not have standardized units. Radiomics combine quantification of tumors' radiological phenotype...
Supervised Machine Learning Progression-Free Survival Image Interpretation, Computer-Assisted Middle Aged Magnetic Resonance Imaging Radiography Sarcoma Soft Tissue Neoplasms Humans Prognosis Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male
View on PubMed DOI
Popular Topics
Recent Journals