AIMC Topic: Retrospective Studies

Clear Filters Showing 7471 to 7480 of 9989 articles

Deep learning assisted mitotic counting for breast cancer.

Laboratory investigation; a journal of technical methods and pathology Jun 20, 2019
As part of routine histological grading, for every invasive breast cancer the mitotic count is assessed by counting mitoses in the (visually selected) region with the highest proliferative activity. Because this procedure is prone to subjectivity, th...
Neural Networks, Computer Humans Prospective Studies Cohort Studies Retrospective Studies Netherlands Female Observer Variation Reproducibility of Results Mitotic Index Aged Adult Breast Neoplasms Middle Aged Diagnosis, Computer-Assisted Deep Learning
View on PubMed DOI

Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology Jun 20, 2019
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Heart Transplantation Ohio Baltimore Humans Machine Learning Risk Assessment Disease Progression Time Factors Recovery of Function Predictive Value of Tests Patient Selection Heart Failure Cardiac Resynchronization Therapy Progression-Free Survival Practice Guidelines as Topic Heart-Assist Devices Aged Male Ventricular Function, Left Stroke Volume Echocardiography Middle Aged Decision Support Techniques Retrospective Studies Clinical Decision-Making Female Risk Factors
View on PubMed DOI

Presurgical differentiation between malignant haemangiopericytoma and angiomatous meningioma by a radiomics approach based on texture analysis.

Journal of neuroradiology = Journal de neuroradiologie Jun 18, 2019
PURPOSE: To assess whether a machine-learning model based on texture analysis (TA) could yield a more accurate diagnosis in differentiating malignant haemangiopericytoma (HPC) from angiomatous meningioma (AM).
Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Magnetic Resonance Imaging Preoperative Care Humans Machine Learning Retrospective Studies Female Adult Meningioma Meningeal Neoplasms Neuroradiography Hemangiopericytoma
View on PubMed DOI

Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

Pediatric pulmonology Jun 18, 2019
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle cell disease (C-SCD). However, spirometry is difficult for younger children to perform, is effort dependent, and it provides limited information on resp...
Adolescent Child, Preschool Child ROC Curve Anemia, Sickle Cell Respiratory Function Tests Spirometry Respiratory Mechanics Vital Capacity Bronchodilator Agents Oscillometry Retrospective Studies Female Asthma Male Lung Case-Control Studies Humans Machine Learning
View on PubMed DOI

Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis Jun 18, 2019
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques from availabl...
Arthritis Wounds and Injuries Macaca mulatta Colitis Serum Amyloid A Protein Case-Control Studies Biomarkers Diarrhea Retrospective Studies Female Adenocarcinoma Risk Factors Disease Models, Animal Animals Models, Statistical Male Cholesterol, LDL Gastrointestinal Neoplasms Humans Endometriosis Machine Learning Cholesterol, HDL Amyloidosis Triglycerides
View on PubMed DOI

Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.

Radiology Jun 18, 2019
Background Intratumor heterogeneity in lung cancer may influence outcomes. CT radiomics seeks to assess tumor features to provide detailed imaging features. However, CT radiomic features vary according to the reconstruction kernel used for image gene...
Male Middle Aged Lung Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Humans Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.

Radiology Jun 18, 2019
Background Computational models on the basis of deep neural networks are increasingly used to analyze health care data. However, the efficacy of traditional computational models in radiology is a matter of debate. Purpose To evaluate the accuracy and...
Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Middle Aged Deep Learning Mammography Humans Retrospective Studies Electronic Health Records Female Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Breast
View on PubMed DOI

Automatic segmentation of hyperreflective foci in OCT images.

Computer methods and programs in biomedicine Jun 17, 2019
BACKGROUND AND OBJECTIVE: The leading cause of vision loss in the Western World is Age-related Macular Degeneration (AMD), but together with modern medicines, tracking the number of Hyperreflective Foci (HF) on Optical Coherence Tomography (OCT) imag...
Tomography, Optical Coherence Vascular Endothelial Growth Factor A Macular Degeneration Probability Automation Retrospective Studies Computer Graphics Deep Learning Decision Support Systems, Clinical Image Processing, Computer-Assisted Models, Theoretical Humans Area Under Curve Neural Networks, Computer Software Algorithms Biomarkers
View on PubMed DOI

Development of Machine Learning Algorithms for Prediction of Sustained Postoperative Opioid Prescriptions After Total Hip Arthroplasty.

The Journal of arthroplasty Jun 13, 2019
BACKGROUND: Postoperative recovery after total hip arthroplasty (THA) can lead to the development of prolonged opioid use but there are few tools for predicting this adverse outcome. The purpose of this study is to develop machine learning algorithms...
Pain, Postoperative Analgesics, Opioid Opioid-Related Disorders Postoperative Period Arthroplasty, Replacement, Hip Prescriptions Aged Male Middle Aged Risk Assessment Logistic Models Humans Machine Learning Algorithms Retrospective Studies Female
View on PubMed DOI

A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can seriously affect patients' quality of life. In this study, we developed a xerostomia prediction model with radiation treatment data using a 3-dimensio...
Laryngeal Neoplasms Pharyngeal Neoplasms Oropharyngeal Neoplasms Squamous Cell Carcinoma of Head and Neck Submandibular Gland Area Under Curve Xerostomia Hypopharyngeal Neoplasms Parotid Gland Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Radiotherapy, Image-Guided Humans Retrospective Studies Tomography, X-Ray Computed Deep Learning ROC Curve Logistic Models
View on PubMed DOI
Popular Topics
Recent Journals