AIMC Topic: Predictive Value of Tests

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Interactive Web Application for Plotting Personalized Prognosis Prediction Curves in Allogeneic Hematopoietic Cell Transplantation Using Machine Learning.

Transplantation May 1, 2021
BACKGROUND: Allogeneic hematopoietic cell transplantation (allo-HCT) is a curative treatment option for malignant hematological disorders. Transplant clinicians estimate patient-specific prognosis empirically in clinical practice based on previous st...
Young Adult Adult Male Middle Aged Risk Assessment Decision Support Techniques Retrospective Studies Female Risk Factors Aged Internet Progression-Free Survival Hematopoietic Stem Cell Transplantation Transplantation, Homologous Recurrence Computer Graphics Humans Machine Learning Disease Progression Adolescent Time Factors Predictive Value of Tests Cause of Death
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Current trends in the use of machine learning for diagnostics and/or risk stratification in cardiovascular disease.

Cardiovascular research Apr 23, 2021
Humans Artificial Intelligence Prognosis Clinical Decision-Making Reproducibility of Results Image Interpretation, Computer-Assisted Cardiac Imaging Techniques Risk Factors Cardiovascular Diseases Risk Assessment Diagnosis, Computer-Assisted Predictive Value of Tests
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Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study.

The Lancet. Digital health Apr 1, 2021
BACKGROUND: Strategies for integrating artificial intelligence (AI) into thyroid nodule management require additional development and testing. We developed a deep-learning AI model (ThyNet) to differentiate between malignant tumours and benign thyroi...
Humans Artificial Intelligence Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Decision Making, Computer-Assisted China Thyroid Nodule ROC Curve Predictive Value of Tests Area Under Curve
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Effect of a Predictive Model on Planned Surgical Duration Accuracy, Patient Wait Time, and Use of Presurgical Resources: A Randomized Clinical Trial.

JAMA surgery Apr 1, 2021
IMPORTANCE: Accurate surgical scheduling affects patients, clinical staff, and use of physical resources. Although numerous retrospective analyses have suggested a potential for improvement, the real-world outcome of implementing a machine learning m...
Female Male Middle Aged Operative Time Waiting Lists Humans Predictive Value of Tests Gynecologic Surgical Procedures Machine Learning Colorectal Surgery Retrospective Studies
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The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT.

Medicine Mar 26, 2021
In 2020, the new type of coronal pneumonitis became a pandemic in the world, and has firstly been reported in Wuhan, China. Chest CT is a vital component in the diagnostic algorithm for patients with suspected or confirmed COVID-19 infection. Therefo...
Severity of Illness Index Image Processing, Computer-Assisted Age Factors Predictive Value of Tests Machine Learning Aged COVID-19 Humans Adult Tomography, X-Ray Computed Male Female Middle Aged SARS-CoV-2 Lung
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Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

Medicine Mar 19, 2021
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hypertension, diabetes, smoking history, and drinking history. Further, the Lipid Metabolism Model was an...
Neural Networks, Computer Acute Kidney Injury Female Risk Factors Young Adult Adult Male Middle Aged Risk Assessment Adolescent Smoking Humans Alcohol Drinking Lipoproteins ROC Curve Clinical Decision Rules Predictive Value of Tests Diabetes Mellitus, Type 2 Ischemic Stroke Hypertension Factor Analysis, Statistical Kidney Function Tests Area Under Curve Age Factors
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Predicting Discharge Disposition Following Meningioma Resection Using a Multi-Institutional Natural Language Processing Model.

Neurosurgery Mar 15, 2021
BACKGROUND: Machine learning (ML)-based predictive models are increasingly common in neurosurgery, but typically require large databases of discrete variables for training. Natural language processing (NLP) can extract meaningful data from unstructur...
Predictive Value of Tests Natural Language Processing Patient Discharge Meningioma Meningeal Neoplasms Humans Machine Learning Algorithms Databases, Factual Retrospective Studies Female Aged Adult Male Middle Aged
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Enhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing.

Archives of pathology & laboratory medicine Mar 1, 2021
CONTEXT.—: Delayed recognition of acute kidney injury (AKI) results in poor outcomes in military and civilian burn-trauma care. Poor predictive ability of urine output (UOP) and creatinine contribute to the delayed recognition of AKI.
Lipocalin-2 Burns Creatinine Military Personnel Wounds and Injuries Adult Male Middle Aged Predictive Value of Tests Humans Point-of-Care Testing Machine Learning Female Aged Aged, 80 and over Algorithms Biomarkers Acute Kidney Injury
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Prediction of age and sex from paranasal sinus images using a deep learning network.

Medicine Feb 19, 2021
This study was conducted to develop a convolutional neural network (CNN)-based model to predict the sex and age of patients by identifying unique unknown features from paranasal sinus (PNS) X-ray images.We employed a retrospective study design and us...
Middle Aged Deep Learning Female Humans Data Management Aged Radiography Neural Networks, Computer Predictive Value of Tests Adult Paranasal Sinuses Algorithms Area Under Curve Sensitivity and Specificity Maxillary Sinus Databases, Factual Male Retrospective Studies
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Prediction of Worse Functional Status After Surgery for Degenerative Cervical Myelopathy: A Machine Learning Approach.

Neurosurgery Feb 16, 2021
BACKGROUND: Surgical decompression for degenerative cervical myelopathy (DCM) is one of the mainstays of treatment, with generally positive outcomes. However, some patients who undergo surgery for DCM continue to show functional decline.
Humans Machine Learning Functional Status Male Cervical Vertebrae Prospective Studies Middle Aged Decompression, Surgical Retrospective Studies Postoperative Complications Spinal Cord Diseases Female Treatment Outcome Aged Predictive Value of Tests Adult
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