AIMC Topic: Feasibility Studies

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Turning Back the Clock: Artificial Intelligence Recognition of Age Reduction after Face-Lift Surgery Correlates with Patient Satisfaction.

Plastic and reconstructive surgery Jul 1, 2021
BACKGROUND: Patients desire face-lifting procedures primarily to appear younger, more refreshed, and attractive. Because there are few objective studies assessing the success of face-lift surgery, the authors used artificial intelligence, in the form...
Image Processing, Computer-Assisted Treatment Outcome Follow-Up Studies Feasibility Studies Aged Middle Aged Quality of Life Deep Learning Postoperative Period Preoperative Period Rejuvenation Rhytidoplasty Patient Reported Outcome Measures Patient Satisfaction Humans Automated Facial Recognition Female Face Reproducibility of Results
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Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds.

The journal of trauma and acute care surgery Jun 1, 2021
BACKGROUND: In-field triage tools for trauma patients are limited by availability of information, linear risk classification, and a lack of confidence reporting. We therefore set out to develop and test a machine learning algorithm that can overcome ...
Female Young Adult Adult Male Humans Artificial Intelligence Thoracic Injuries Retrospective Studies Shock Injury Severity Score Models, Cardiovascular Trauma Centers Wounds, Gunshot Emergency Medical Services Triage Feasibility Studies Hemorrhage Risk Assessment ROC Curve Blood Transfusion
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Diagnostic Confidence and Feasibility of a Deep Learning Accelerated HASTE Sequence of the Abdomen in a Single Breath-Hold.

Investigative radiology May 1, 2021
OBJECTIVE: The aim of this study was to evaluate the feasibility of a single breath-hold fast half-Fourier single-shot turbo spin echo (HASTE) sequence using a deep learning reconstruction (HASTEDL) for T2-weighted magnetic resonance imaging of the a...
Abdomen Magnetic Resonance Imaging Feasibility Studies Artifacts Humans Retrospective Studies Deep Learning
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[Feasibility multi-center study of artificial intelligence assistance in cervical fluid-based cytology diagnosis].

Zhonghua bing li xue za zhi = Chinese journal of pathology Apr 8, 2021
To propose a method of cervical cytology screening based on deep convolutional neural network and compare it with the diagnosis of cytologists. The deep segmentation network was used to extract 618 333 regions of interest (ROI) from 5, 516 cytologi...
Feasibility Studies Humans Neural Networks, Computer Artificial Intelligence Female Sensitivity and Specificity Vaginal Smears
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PET/CT for Brain Amyloid: A Feasibility Study for Scan Time Reduction by Deep Learning.

Clinical nuclear medicine Mar 1, 2021
PURPOSE: This study was to develop a convolutional neural network (CNN) model with a residual learning framework to predict the full-time 18F-florbetaben (18F-FBB) PET/CT images from corresponding short-time scans.
Amyloid Signal-To-Noise Ratio Retrospective Studies Female Deep Learning Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography Feasibility Studies Aniline Compounds Stilbenes Humans Brain
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Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: We sought to demonstrate the feasibility of utilizing deep learning models to extract safety signals related to the use of dietary supplements (DSs) in clinical text.
Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Deep Learning Dietary Supplements Natural Language Processing Feasibility Studies Humans
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The Auto-eFACE: Machine Learning-Enhanced Program Yields Automated Facial Palsy Assessment Tool.

Plastic and reconstructive surgery Feb 1, 2021
BACKGROUND: Facial palsy assessment is nonstandardized. Clinician-graded scales are limited by subjectivity and observer bias. Computer-aided grading would be desirable to achieve conformity in facial palsy assessment and to compare the effectiveness...
Young Adult Adult Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Disability Evaluation Feasibility Studies Software Female Aged Aged, 80 and over Humans Machine Learning Facial Paralysis Datasets as Topic Photography Face Synkinesis Facial Asymmetry
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A feasibility study of realizing low-dose abdominal CT using deep learning image reconstruction algorithm.

Journal of X-ray science and technology Jan 1, 2021
OBJECTIVES: To explore the feasibility of achieving diagnostic images in low-dose abdominal CT using a Deep Learning Image Reconstruction (DLIR) algorithm.
Radiation Dosage Deep Learning Humans Image Processing, Computer-Assisted Algorithms Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Feasibility Studies
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Quantitative Assessment of Resting-State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Mild cognitive impairment (MCI) is considered a prodromal stage of Alzheimer's disease. Early diagnosis of MCI can allow for treatment to improve cognitive function and reduce modifiable risk factors.
Deep Learning Humans Neural Pathways Aged, 80 and over Neural Networks, Computer Cognitive Dysfunction Discriminant Analysis Algorithms Male Support Vector Machine Machine Learning Feasibility Studies Female Spectroscopy, Near-Infrared Brain Mapping Reproducibility of Results Rest Aged Neuroimaging
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Model assessment: new measures should be known and traditional measures should be accurately interpreted.

European heart journal Jan 1, 2021
Humans Feasibility Studies Deep Learning Coronary Artery Disease
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