AIMC Topic: Predictive Value of Tests

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Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.

Annals of oncology : official journal of the European Society for Medical Oncology Jun 1, 2019
INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds-urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algori...
Humans Artificial Intelligence Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Follow-Up Studies Predictive Value of Tests Programmed Cell Death 1 Receptor Melanoma Survival Rate Lung Neoplasms Immunotherapy Machine Learning Algorithms Prognosis Tomography, X-Ray Computed
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Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems.

Journal of digital imaging Jun 1, 2019
Ultrasound (US) is a valuable imaging modality used to detect primary breast malignancy. However, radiologists have a limited ability to distinguish between benign and malignant lesions on US, leading to false-positive and false-negative results, whi...
Ultrasonography, Mammary Workflow Diagnosis, Computer-Assisted Decision Support Systems, Clinical Diagnosis, Differential Predictive Value of Tests Artificial Intelligence Software Breast Neoplasms Humans
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Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.

Journal of digital imaging Jun 1, 2019
Osteoarthritis (OA) classification in the knee is most commonly done with radiographs using the 0-4 Kellgren Lawrence (KL) grading system where 0 is normal, 1 shows doubtful signs of OA, 2 is mild OA, 3 is moderate OA, and 4 is severe OA. KL grading ...
Humans Neural Networks, Computer Severity of Illness Index Algorithms Datasets as Topic Predictive Value of Tests Female Automation Male Osteoarthritis, Knee Middle Aged
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Exploring the survival prognosis of lung adenocarcinoma based on the cancer genome atlas database using artificial neural network.

Medicine May 1, 2019
The aim of this study was to investigate the clinical factors affecting the survival prognosis of lung adenocarcinoma, and to establish a predictive model of survival prognosis of lung adenocarcinoma by artificial neural network.Download the cancer g...
Cigarette Smoking Male Risk Factors Humans Logistic Models Kaplan-Meier Estimate Middle Aged Aged Regression Analysis Neural Networks, Computer Adenocarcinoma of Lung ROC Curve Aged, 80 and over Predictive Value of Tests Lung Neoplasms Genomic Library Adult Prognosis Neoplasm Staging Female
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Digital pathology and artificial intelligence.

The Lancet. Oncology May 1, 2019
In modern clinical practice, digital pathology has a crucial role and is increasingly a technological requirement in the scientific laboratory environment. The advent of whole-slide imaging, availability of faster networks, and cheaper storage soluti...
Humans Microscopy Artificial Intelligence Neoplasms Prognosis Image Interpretation, Computer-Assisted Pathology Reproducibility of Results Diagnosis, Computer-Assisted Predictive Value of Tests Workflow
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Ethical challenges of machine learning and deep learning algorithms.

The Lancet. Oncology May 1, 2019
Physician's Role Deep Learning Decision Support Systems, Clinical Predictive Value of Tests Therapy, Computer-Assisted Humans Patient Safety Machine Learning Clinical Decision-Making Reproducibility of Results Diagnosis, Computer-Assisted
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Machine learning-based preoperative predictive analytics for lumbar spinal stenosis.

Neurosurgical focus May 1, 2019
OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal stenosis (LSS) demonstrate considerable heterogeneity. Individualized prediction tools can provide valuable insights for shared decision-making. The ...
Humans Machine Learning Algorithms Aged Male Middle Aged Retrospective Studies Female Lumbar Vertebrae Length of Stay Feasibility Studies Treatment Outcome Spinal Stenosis Recovery of Function Decompression, Surgical Predictive Value of Tests
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How to develop machine learning models for healthcare.

Nature materials May 1, 2019
Predictive Value of Tests Radiotherapy Planning, Computer-Assisted Medical Informatics Drug Discovery Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Humans Models, Theoretical Diabetic Retinopathy Machine Learning Algorithms Diagnostic Errors Prognosis Cardiovascular Diseases Reproducibility of Results Echocardiography
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Using Machine Learning to Predict Lower-Extremity Injury in US Special Forces.

Medicine and science in sports and exercise May 1, 2019
INTRODUCTION: Musculoskeletal injury rates in military personnel remain unacceptably high. Application of machine learning algorithms could be useful in multivariate models to predict injury in this population. The purpose of this study was to invest...
Military Personnel Athletic Injuries Oxygen Consumption Body Composition Knee Joint Range of Motion, Articular Machine Learning Algorithms Prospective Studies Risk Factors Humans Lower Extremity Muscle Strength Predictive Value of Tests Young Adult Adult
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Machine Learning-Based Model for Prediction of Outcomes in Acute Stroke.

Stroke May 1, 2019
Background and Purpose- The prediction of long-term outcomes in ischemic stroke patients may be useful in treatment decisions. Machine learning techniques are being increasingly adapted for use in the medical field because of their high accuracy. Thi...
Humans Neural Networks, Computer Treatment Outcome Predictive Value of Tests Stroke Machine Learning Prospective Studies Retrospective Studies Cohort Studies
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