AIMC Topic: Predictive Value of Tests

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Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph.

Scientific reports Jul 9, 2021
Triaging and prioritising patients for RT-PCR test had been essential in the management of COVID-19 in resource-scarce countries. In this study, we applied machine learning (ML) to the task of detection of SARS-CoV-2 infection using basic laboratory ...
Humans Machine Learning COVID-19 Adult Male Middle Aged Adolescent Predictive Value of Tests Biomarkers Retrospective Studies Female SARS-CoV-2 Models, Biological COVID-19 Testing Thorax
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Pregnancy prediction performance of an annotation-free embryo scoring system on the basis of deep learning after single vitrified-warmed blastocyst transfer: a single-center large cohort retrospective study.

Fertility and sterility Jul 8, 2021
OBJECTIVE: To analyze the performance of an annotation-free embryo scoring system on the basis of deep learning for pregnancy prediction after single vitrified blastocyst transfer (SVBT) compared with the performance of other blastocyst grading syste...
Vitrification Embryo Culture Techniques Time-Lapse Imaging Infertility Single Embryo Transfer Cryopreservation Fertilization in Vitro Treatment Outcome Embryo Implantation Image Interpretation, Computer-Assisted Heart Rate, Fetal Maternal Age Predictive Value of Tests Blastocyst Adult Middle Aged Deep Learning Pregnancy Rate Humans Retrospective Studies Pregnancy Female
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An Unbiased Machine Learning Exploration Reveals Gene Sets Predictive of Allograft Tolerance After Kidney Transplantation.

Frontiers in immunology Jul 8, 2021
Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered by limited sample size, as well as the complicated mechanisms underlying tolerance and the potential risk of rejection after immunosuppressant withdr...
Transplantation Tolerance Time Factors Graft Survival Humans Risk Factors Immunosuppressive Agents Graft Rejection Machine Learning Risk Assessment Treatment Outcome Predictive Value of Tests Patient Selection Kidney Transplantation Gene Expression Profiling Databases, Genetic Oligonucleotide Array Sequence Analysis Clinical Decision-Making Transcriptome
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Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis.

Hepatology communications Jul 7, 2021
Body composition measures derived from already available electronic medical records (computed tomography [CT] scans) can have significant value, but automation of measurements is needed for clinical implementation. We sought to use artificial intelli...
Middle Aged Tomography, X-Ray Computed Severity of Illness Index Female Deep Learning Proof of Concept Study Predictive Value of Tests Humans Aged Image Processing, Computer-Assisted Abdominal Fat Body Composition Male Artificial Intelligence End Stage Liver Disease Algorithms Prospective Studies
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Machine learning algorithms can more efficiently predict biochemical recurrence after robot-assisted radical prostatectomy.

The Prostate Jul 5, 2021
OBJECTIVES: To develop a model for predicting biochemical recurrence (BCR) in patients with long follow-up periods using clinical parameters and the machine learning (ML) methods.
Middle Aged Machine Learning Robotic Surgical Procedures Cohort Studies Humans Predictive Value of Tests Neoplasm Recurrence, Local Algorithms Treatment Outcome Prostatectomy Prostatic Neoplasms Follow-Up Studies Aged Male
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Deep learning for categorization of endodontic lesion based on radiographic periapical index scoring system.

Clinical oral investigations Jul 2, 2021
OBJECTIVE: The study aimed to apply convolutional neural network (CNN) to score periapical lesion on an intraoral periapical radiograph (IOPAR) based on the periapical index (PAI) scoring system.
Deep Learning Predictive Value of Tests Radiography
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Artificial Intelligence-Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis.

Mayo Clinic proceedings Jul 2, 2021
OBJECTIVE: To develop an artificial intelligence (AI)-based tool to detect cardiac amyloidosis (CA) from a standard 12-lead electrocardiogram (ECG).
Female Male Middle Aged United States Electrocardiography Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Cardiomyopathies Amyloid Neuropathies, Familial Predictive Value of Tests Area Under Curve Early Diagnosis Time-to-Treatment
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Effect of age and sex on fully automated deep learning assessment of left ventricular function, volumes, and contours in cardiac magnetic resonance imaging.

The international journal of cardiovascular imaging Jun 29, 2021
Deep learning algorithms for left ventricle (LV) segmentation are prone to bias towards the training dataset. This study assesses sex- and age-dependent performance differences when using deep learning for automatic LV segmentation. Retrospective ana...
Male Ventricular Function, Left Stroke Volume Deep Learning Predictive Value of Tests Heart Ventricles Magnetic Resonance Imaging, Cine Adolescent Magnetic Resonance Imaging Humans Retrospective Studies Female Reproducibility of Results
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Long-term cancer survival prediction using multimodal deep learning.

Scientific reports Jun 29, 2021
The age of precision medicine demands powerful computational techniques to handle high-dimensional patient data. We present MultiSurv, a multimodal deep learning method for long-term pan-cancer survival prediction. MultiSurv uses dedicated submodels ...
Deep Learning Predictive Value of Tests Models, Biological Humans Cancer Survivors Databases, Factual Survival Rate Neoplasms
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Deep learning to predict long-term mortality in patients requiring 7 days of mechanical ventilation.

PloS one Jun 29, 2021
BACKGROUND: Among patients with acute respiratory failure requiring prolonged mechanical ventilation, tracheostomies are typically placed after approximately 7 to 10 days. Yet half of patients admitted to the intensive care unit receiving tracheostom...
Aged Male Middle Aged Respiration, Artificial Humans Models, Biological Deep Learning Intensive Care Units Time Factors Female Hospital Mortality Predictive Value of Tests
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