AIMC Topic:
ROC Curve

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Deep learning for accurately recognizing common causes of shoulder pain on radiographs.

Skeletal radiology Feb 20, 2021
OBJECTIVE: Training a convolutional neural network (CNN) to detect the most common causes of shoulder pain on plain radiographs and to assess its potential value in serving as an assistive device to physicians.
Humans Neural Networks, Computer Retrospective Studies Shoulder Pain Deep Learning ROC Curve Area Under Curve Radiography
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Deep learning based digital cell profiles for risk stratification of urine cytology images.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Feb 20, 2021
Urine cytology is a test for the detection of high-grade bladder cancer. In clinical practice, the pathologist would manually scan the sample under the microscope to locate atypical and malignant cells. They would assess the morphology of these cells...
Risk Assessment Deep Learning ROC Curve Cytodiagnosis
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Predicting presumed serious infection among hospitalized children on central venous lines with machine learning.

Computers in biology and medicine Feb 20, 2021
BACKGROUND: Presumed serious infection (PSI) is defined as a blood culture drawn and new antibiotic course of at least 4 days among pediatric patients with Central Venous Lines (CVLs). Early PSI prediction and use of medical interventions can prevent...
Child, Hospitalized Child ROC Curve Predictive Value of Tests Humans Machine Learning Retrospective Studies
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Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images.

Scientific reports Feb 19, 2021
SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and preventing various serious diseases. The automated classification of medical images is becoming increasingly important in developing computer-aided diagnosis syste...
Deep Learning ROC Curve Image Processing, Computer-Assisted Bone Neoplasms Aged, 80 and over Image Interpretation, Computer-Assisted Female Reproducibility of Results Adult Automation Aged Humans Male Tomography, Emission-Computed, Single-Photon Data Analysis Whole Body Imaging Middle Aged Algorithms
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An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning.

Nature communications Feb 19, 2021
Deep learning for digital pathology is hindered by the extremely high spatial resolution of whole-slide images (WSIs). Most studies have employed patch-based methods, which often require detailed annotation of image patches. This typically involves l...
Adenocarcinoma Deep Learning ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Humans Neural Networks, Computer Algorithms Carcinoma, Squamous Cell
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Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.

PloS one Feb 19, 2021
PURPOSE: This study evaluated the performance of a commercially available deep-learning algorithm (DLA) (Insight CXR, Lunit, Seoul, South Korea) for referable thoracic abnormalities on chest X-ray (CXR) using a consecutively collected multicenter hea...
Middle Aged Humans Radiography, Thoracic Deep Learning Female Algorithms ROC Curve Aged Retrospective Studies Multicenter Studies as Topic Adult Male
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Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Scientific reports Feb 18, 2021
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical character...
London Risk Assessment Respiration, Artificial Disease Progression Hospitals Humans Hospital Mortality Machine Learning ROC Curve Pandemics Emergency Service, Hospital Aged, 80 and over COVID-19 Risk Factors United Kingdom Adult Retrospective Studies Hospitalization Male Female Aged Middle Aged SARS-CoV-2
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A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography.

Scientific reports Feb 16, 2021
Since its first outbreak, Coronavirus Disease 2019 (COVID-19) has been rapidly spreading worldwide and caused a global pandemic. Rapid and early detection is essential to contain COVID-19. Here, we first developed a deep learning (DL) integrated radi...
Algorithms Tomography, X-Ray Computed Female SARS-CoV-2 Humans COVID-19 ROC Curve Radiologists Models, Biological Adult Male Middle Aged Deep Learning
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A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs.

Nature communications Feb 16, 2021
Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in trauma patients, which is also the key component for trauma survey. None of the currently available algorithms can accurately detect all kinds of trauma-related ...
Humans Deep Learning ROC Curve Pelvis Aged Hip Fractures Wounds and Injuries Adult Algorithms Male Physicians Middle Aged Female
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Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models.

BMC medical imaging Feb 16, 2021
BACKGROUND: To validate and compare various MRI-based radiomics models to evaluate treatment response to neoadjuvant chemoradiotherapy (nCRT) of rectal cancer.
Neoadjuvant Therapy Magnetic Resonance Imaging Models, Statistical Rectum Female Male Middle Aged ROC Curve Radiographic Image Interpretation, Computer-Assisted Rectal Neoplasms Image Interpretation, Computer-Assisted Chemoradiotherapy, Adjuvant Humans Machine Learning Algorithms
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