AIMC Topic: Sensitivity and Specificity

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Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.

Radiology Sep 21, 2021
Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who will develop ASD remains challenging for clinicians. Purpose To develop and validate a deep learnin...
Humans Preoperative Care Retrospective Studies Diskectomy Female Spinal Cord Diseases Cervical Vertebrae Spinal Fusion Image Interpretation, Computer-Assisted Radiculopathy Middle Aged Postoperative Complications Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Reproducibility of Results Adult Sensitivity and Specificity Male
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Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.

BioMed research international Sep 17, 2021
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologic injury remains the leading cause of morbidity and mortality among survivors of OHCA. The purpose of this study was to investigate whether a machine ...
ROC Curve Predictive Value of Tests Area Under Curve Survival Analysis Models, Cardiovascular Female Out-of-Hospital Cardiac Arrest Aged Sensitivity and Specificity Male Humans Machine Learning Algorithms Brain
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Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning.

Nature communications Sep 16, 2021
Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and evaluate fracture risk. We present an automated tool to identify fractures, predict BMD, and evaluate fracture risk using plain radiographs. The tool pe...
Algorithms Bone Density Absorptiometry, Photon Osteoporosis Female Risk Factors Aged Deep Learning Aged, 80 and over Humans Fractures, Bone Adult Lumbar Vertebrae Sensitivity and Specificity Hip Fractures Male Middle Aged Risk Assessment
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Image Quality and Diagnostic Performance of Accelerated Shoulder MRI With Deep Learning-Based Reconstruction.

AJR. American journal of roentgenology Sep 15, 2021
Shoulder MRI using standard multiplanar sequences requires long scan times. Accelerated sequences have tradeoffs in noise and resolution. Deep learning-based reconstruction (DLR) may allow reduced scan time with preserved image quality. The purpose...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Shoulder Joint Shoulder Injuries Humans Retrospective Studies Female Male Middle Aged Deep Learning Reproducibility of Results Sensitivity and Specificity
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An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients.

European journal of nuclear medicine and molecular imaging Sep 14, 2021
PURPOSE: The identification of pathological mediastinal lymph nodes is an important step in the staging of lung cancer, with the presence of metastases significantly affecting survival rates. Nodes are currently identified by a physician, but this pr...
Lymph Nodes Lymphatic Metastasis Positron Emission Tomography Computed Tomography Neoplasm Staging Retrospective Studies Sensitivity and Specificity Deep Learning Lung Neoplasms Positron-Emission Tomography Fluorodeoxyglucose F18 Humans Artificial Intelligence
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ECG data dependency for atrial fibrillation detection based on residual networks.

Scientific reports Sep 14, 2021
Atrial fibrillation (AF) is an arrhythmia that can cause blood clot and may lead to stroke and heart failure. To detect AF, deep learning-based detection algorithms have recently been developed. However, deep learning models were often trained with l...
Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning ROC Curve Electrocardiography Atrial Fibrillation Humans Neural Networks, Computer Algorithms Reproducibility of Results
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Selection, Visualization, and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma.

The American journal of pathology Sep 8, 2021
Although deep learning networks applied to digital images have shown impressive results for many pathology-related tasks, their black-box approach and limitation in terms of interpretability are significant obstacles for their widespread clinical uti...
Female Carcinoma, Squamous Cell Reproducibility of Results Sensitivity and Specificity Male Humans Neural Networks, Computer Feasibility Studies Image Interpretation, Computer-Assisted Datasets as Topic Adenocarcinoma of Lung Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Diagnosis, Differential
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Stratifying the Risk of Cardiovascular Disease in Obstructive Sleep Apnea Using Machine Learning.

The Laryngoscope Sep 6, 2021
OBJECTIVES/HYPOTHESIS: Obstructive sleep apnea (OSA) is associated with higher risk of morbidity and mortality related to cardiovascular disease (CVD). Due to overlapping clinical risk factors, identifying high-risk patients with OSA who are likely t...
ROC Curve Sleep Apnea, Obstructive Humans Male Machine Learning Cardiovascular Diseases Aged Algorithms Middle Aged Aged, 80 and over Retrospective Studies Risk Assessment Sensitivity and Specificity Female Risk Factors
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Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network.

BMC medical imaging Sep 4, 2021
BACKGROUND: We aimed to construct an artificial intelligence (AI) guided identification of suspicious bone metastatic lesions from the whole-body bone scintigraphy (WBS) images by convolutional neural networks (CNNs).
Humans Neural Networks, Computer Middle Aged Diagnosis, Computer-Assisted Bone Neoplasms Bone and Bones Radionuclide Imaging Retrospective Studies Female Sensitivity and Specificity Male
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Artificial intelligence in gynecologic cancers: Current status and future challenges - A systematic review.

Artificial intelligence in medicine Sep 3, 2021
OBJECTIVE: Over the past years, the application of artificial intelligence (AI) in medicine has increased rapidly, especially in diagnostics, and in the near future, the role of AI in medicine will become progressively more important. In this study, ...
Genital Neoplasms, Female Humans Artificial Intelligence Female Sensitivity and Specificity Lymphatic Metastasis Magnetic Resonance Imaging
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