AIMC Topic: Predictive Value of Tests
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Comparison of three machine learning models to predict suicidal ideation and depression among Chinese adolescents: A cross-sectional study.
Journal of affective disorders
Sep 16, 2022
BACKGROUND: Machine learning (ML) algorithms based on various clinicodemographic, psychometric, and biographic factors have been used to predict depression, suicidal ideation, and suicide attempt in adolescents, but there is still a need for more acc...
Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events.
JACC. Cardiovascular imaging
Sep 14, 2022
BACKGROUND: Assessment of coronary artery calcium (CAC) by computed tomographic (CT) imaging provides an accurate measure of atherosclerotic burden. CAC is also visible in computed tomographic attenuation correction (CTAC) scans, always acquired with...
A SuperLearner Approach to Predict Run-In Selection in Clinical Trials.
Computational and mathematical methods in medicine
Sep 10, 2022
A critical early step in a clinical trial is defining the study sample that appropriately represents the target population from which the sample will be drawn. Envisaging a "run-in" process in study design may accomplish this task; however, the tradi...
An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Aug 29, 2022
BACKGROUND: View classification is a key step toward building a fully automated system for interpretation of echocardiograms. However, compared with adult echocardiograms, creating a view classification model for pediatric echocardiograms poses addit...
Performance of Acoustic Measures for the Discrimination Among Healthy, Rough, Breathy, and Strained Voices Using the Feedforward Neural Network.
Journal of voice : official journal of the Voice Foundation
Aug 23, 2022
OBJECTIVE: To identify and evaluate the best set of acoustic measures to discriminate among healthy, rough, breathy, and strained voices.
Adult
Male
Middle Aged
Aged
Young Adult
Signal Processing, Computer-Assisted
Acoustics
Sound Spectrography
Case-Control Studies
Adolescent
Predictive Value of Tests
Humans
Neural Networks, Computer
Algorithms
Female
Reproducibility of Results
Speech Production Measurement
Voice Quality
Speech Acoustics
Feedforward Neural Networks
Voice Disorders
Systematic comparison of machine learning algorithms to develop and validate predictive models for periodontitis.
Journal of clinical periodontology
Jul 28, 2022
AIM: The aim of this study was to compare the validity of different machine learning algorithms to develop and validate predictive models for periodontitis.
Great debates in cardiac computed tomography: OPINION: "Artificial intelligence and the future of cardiovascular CT - Managing expectation and challenging hype".
Journal of cardiovascular computed tomography
Jul 21, 2022
This manuscript has been written as a follow-up to the "AI/ML great debate" featured at the 2021 Society of Cardiovascular Computed Tomography (SCCT) Annual Scientific Meeting. In debate style, we highlighti the need for expectation management of AI/...
Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats.
Scientific reports
Jul 6, 2022
Thoracic radiograph (TR) is a complementary exam widely used in small animal medicine which requires a sharp analysis to take full advantage of Radiographic Pulmonary Pattern (RPP). Although promising advances have been made in deep learning for vete...
Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk.
JAMA network open
Jul 1, 2022
IMPORTANCE: Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine learning alternatives lack validity.
Performance of artificial intelligence for biventricular cardiovascular magnetic resonance volumetric analysis in the clinical setting.
The international journal of cardiovascular imaging
Jun 29, 2022
Cardiovascular magnetic resonance (CMR) derived ventricular volumes and function guide clinical decision-making for various cardiac pathologies. We aimed to evaluate the efficiency and clinical applicability of a commercially available artificial int...
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