AIMC Topic: Predictive Value of Tests

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Prediction of 1-Year Mortality from Acute Myocardial Infarction Using Machine Learning.

The American journal of cardiology Jul 26, 2020
Risk stratification at hospital discharge could be instrumental in guiding postdischarge care. In this study, the risk models for 1-year mortality using machine learning (ML) were evaluated for guiding management of acute myocardial infarction (AMI) ...
Myocardial Infarction Male Female Humans Middle Aged Risk Factors Risk Assessment ROC Curve Aged Machine Learning Time Factors Logistic Models Aged, 80 and over Algorithms Predictive Value of Tests Republic of Korea Registries
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Predicting In Vitro Neurotoxicity Induced by Nanoparticles Using Machine Learning.

International journal of molecular sciences Jul 25, 2020
The practice of non-testing approaches in nanoparticles hazard assessment is necessary to identify and classify potential risks in a cost effective and timely manner. Machine learning techniques have been applied in the field of nanotoxicology with e...
Models, Neurological Predictive Value of Tests Neurotoxins Humans Machine Learning Nanoparticles
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Strategies for Testing Intervention Matching Schemes in Cancer.

Clinical pharmacology and therapeutics Jul 24, 2020
Personalized medicine, or the tailoring of health interventions to an individual's nuanced and often unique genetic, biochemical, physiological, behavioral, and/or exposure profile, is seen by many as a biological necessity given the great heterogene...
Humans Artificial Intelligence Decision Support Techniques Antineoplastic Agents Molecular Diagnostic Techniques Models, Theoretical Predictive Value of Tests Molecular Targeted Therapy Precision Medicine Clinical Decision-Making Biomarkers, Tumor Neoplasms
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Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI.

Neuroradiology Jul 23, 2020
PURPOSE: Pituitary macroadenoma consistency can influence the ease of lesion removal during surgery, especially when using a transsphenoidal approach. Unfortunately, it is not assessable on standard qualitative MRI. Radiomic texture analysis could he...
Male Middle Aged Adolescent Magnetic Resonance Imaging Pituitary Neoplasms Adenoma Predictive Value of Tests Female Data Mining Image Interpretation, Computer-Assisted Humans Aged Machine Learning Adult Retrospective Studies Endoscopy
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Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept.

Scientific reports Jul 23, 2020
Sepsis is the primary cause of burn-related mortality and morbidity. Traditional indicators of sepsis exhibit poor performance when used in this unique population due to their underlying hypermetabolic and inflammatory response following burn injury....
Middle Aged Sepsis Age Factors Predictive Value of Tests Humans Burns Female Machine Learning Models, Biological Adult Databases, Factual Disease-Free Survival Survival Rate Male
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: deep learning-based radiomics for the time-to-event outcome prediction in lung cancer.

Scientific reports Jul 23, 2020
Hand-crafted radiomics has been used for developing models in order to predict time-to-event clinical outcomes in patients with lung cancer. Hand-crafted features, however, are pre-defined and extracted without taking the desired target into account....
Deep Learning Lung Neoplasms Predictive Value of Tests Disease-Free Survival Positron-Emission Tomography Aged, 80 and over Survival Rate Male Middle Aged Databases, Factual Tomography, X-Ray Computed Female Aged Humans
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Development and Validation of a Deep-learning Model to Assist With Renal Cell Carcinoma Histopathologic Interpretation.

Urology Jul 22, 2020
OBJECTIVE: To develop and test the ability of a convolutional neural network (CNN) to accurately identify the presence of renal cell carcinoma (RCC) on histopathology specimens, as well as differentiate RCC histologic subtype and grade.
Carcinoma, Renal Cell Humans Deep Learning Diagnosis, Differential Cohort Studies Predictive Value of Tests Image Processing, Computer-Assisted Kidney Neoplasm Grading Kidney Neoplasms
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The artificial intelligence-assisted cytology diagnostic system in large-scale cervical cancer screening: A population-based cohort study of 0.7 million women.

Cancer medicine Jul 22, 2020
BACKGROUND: Adequate cytology is limited by insufficient cytologists in a large-scale cervical cancer screening. We aimed to develop an artificial intelligence (AI)-assisted cytology system in cervical cancer screening program.
Middle Aged Diagnosis, Computer-Assisted Deep Learning China Aged Young Adult Adult Uterine Cervical Neoplasms Biopsy Cytodiagnosis Uterine Cervical Dysplasia Colposcopy Vaginal Smears Early Detection of Cancer Predictive Value of Tests Neoplasm Grading Humans Female Reproducibility of Results
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Artificial Intelligence Applications in Stroke.

Stroke Jul 22, 2020
Stroke Artificial Intelligence Tomography, X-Ray Computed Magnetic Resonance Imaging Predictive Value of Tests Humans
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Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening.

Acta cytologica Jul 21, 2020
BACKGROUND: In the face of rapid technological advances in computational cytology including artificial intelligence (AI), optimization of its application to clinical practice would benefit from reflection on the lessons learned from the decades-long ...
Vaginal Smears Early Detection of Cancer Predictive Value of Tests Workload Reproducibility of Results Workflow Humans Uterine Cervical Neoplasms Diffusion of Innovation Artificial Intelligence Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Automation, Laboratory Papanicolaou Test Female
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