AIMC Topic: Prospective Studies
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Deep Learning-Based Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction: A Point-of-Care Solution.
Circulation. Cardiovascular imaging
Jun 15, 2021
BACKGROUND: We have recently tested an automated machine-learning algorithm that quantifies left ventricular (LV) ejection fraction (EF) from guidelines-recommended apical views. However, in the point-of-care (POC) setting, apical 2-chamber views are...
Quantitative gait analysis of idiopathic normal pressure hydrocephalus using deep learning algorithms on monocular videos.
Scientific reports
Jun 11, 2021
A vision-based gait analysis method using monocular videos was proposed to estimate temporo-spatial gait parameters by leveraging deep learning algorithms. This study aimed to validate vision-based gait analysis using GAITRite as the reference system...
Hybrid AI-assistive diagnostic model permits rapid TBS classification of cervical liquid-based thin-layer cell smears.
Nature communications
Jun 10, 2021
Technical advancements significantly improve earlier diagnosis of cervical cancer, but accurate diagnosis is still difficult due to various factors. We develop an artificial intelligence assistive diagnostic solution, AIATBS, to improve cervical liqu...
Caudal Epidural Injections in Lumbar Spinal Stenosis: Comparison of Nonimage, Ultrasonography-, and Fluoroscopy-Guided Techniques. A Randomized Clinical Trial.
The Permanente journal
Jun 9, 2021
INTRODUCTION: Caudal epidural injections (CEIs) are widely used in the treatment of lumbar spinal stenosis (LSS). Imaging modalities, such as fluoroscopy and ultrasonography, are frequently employed to confirm proper needle placement and to prevent p...
Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set.
Journal of chemical information and modeling
Jun 3, 2021
In the last two decades, a large number of machine-learning-based predictors for the activities of antimicrobial peptides (AMPs) have been proposed. These predictors differ from one another in the learning method and in the training and testing data ...
Impact of deep learning-determined smoking status on mortality of cancer patients: never too late to quit.
ESMO open
Jun 3, 2021
BACKGROUND: Persistent smoking after cancer diagnosis is associated with increased overall mortality (OM) and cancer mortality (CM). According to the 2020 Surgeon General's report, smoking cessation may reduce CM but supporting evidence is not wide. ...
Deep Learning-Based End-to-End Diagnosis System for Avascular Necrosis of Femoral Head.
IEEE journal of biomedical and health informatics
Jun 3, 2021
As the first diagnostic imaging modality of avascular necrosis of the femoral head (AVNFH), accurately staging AVNFH from a plain radiograph is critical yet challenging for orthopedists. Thus, we propose a deep learning-based AVNFH diagnosis system (...
Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data.
PloS one
Jun 2, 2021
BACKGROUND: Pancreatic cancer (PC) represents a substantial public health burden. Pancreatic cancer patients have very low survival due to the difficulty of identifying cancers early when the tumour is localised to the site of origin and treatable. R...
Adult
Survival Rate
Male
Middle Aged
Aged
Risk Assessment
Follow-Up Studies
Humans
Aged, 80 and over
Case-Control Studies
Early Detection of Cancer
Machine Learning
Prospective Studies
Young Adult
Pancreatic Neoplasms
Algorithms
Adolescent
Prognosis
Primary Health Care
Electronic Health Records
Female
Predictors of Persistent Postsurgical Pain After Hysterectomy-A Prospective Cohort Study.
Journal of minimally invasive gynecology
May 30, 2021
STUDY OBJECTIVE: To determine sociodemographic, surgical, and psychologic risk factors, including pain sensitivity, for persistent postsurgical pain (PPSP) after hysterectomy.
Improving Stroke Risk Prediction in the General Population: A Comparative Assessment of Common Clinical Rules, a New Multimorbid Index, and Machine-Learning-Based Algorithms.
Thrombosis and haemostasis
May 28, 2021
BACKGROUND: There are few large studies examining and predicting the diversified cardiovascular/noncardiovascular comorbidity relationships with stroke. We investigated stroke risks in a very large prospective cohort of patients with multimorbidity, ...
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