AIMC Topic: Sensitivity and Specificity
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Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography.
European journal of radiology
Nov 4, 2020
INTRODUCTION: Computed Tomography is an essential diagnostic tool in the management of COVID-19. Considering the large amount of examinations in high case-load scenarios, an automated tool could facilitate and save critical time in the diagnosis and ...
Deep Learning for Detecting Cerebral Aneurysms with CT Angiography.
Radiology
Nov 3, 2020
Background Cerebral aneurysm detection is a challenging task. Deep learning may become a supportive tool for more accurate interpretation. Purpose To develop a highly sensitive deep learning-based algorithm that assists in the detection of cerebral a...
Predicting vaginal birth after previous cesarean: Using machine-learning models and a population-based cohort in Sweden.
Acta obstetricia et gynecologica Scandinavica
Oct 31, 2020
INTRODUCTION: Predicting a woman's probability of vaginal birth after cesarean could facilitate the antenatal decision-making process. Having a previous vaginal birth strongly predicts vaginal birth after cesarean. Delivery outcome in women with only...
The detection of lung cancer using massive artificial neural network based on soft tissue technique.
BMC medical informatics and decision making
Oct 31, 2020
BACKGROUND: A proposed computer aided detection (CAD) scheme faces major issues during subtle nodule recognition. However, radiologists have not noticed subtle nodules in beginning stage of lung cancer while a proposed CAD scheme recognizes non subtl...
Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs.
European radiology
Oct 30, 2020
OBJECTIVES: To develop and validate a preoperative CT-based deep learning model for the prediction of visceral pleural invasion (VPI) in early-stage lung cancer.
Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors.
Korean journal of radiology
Oct 21, 2020
OBJECTIVE: The mitotic count of gastrointestinal stromal tumors (GIST) is closely associated with the risk of planting and metastasis. The purpose of this study was to develop a predictive model for the mitotic index of local primary GIST, based on d...
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests.
Clinical chemistry and laboratory medicine
Oct 21, 2020
OBJECTIVES: The rRT-PCR test, the current gold standard for the detection of coronavirus disease (COVID-19), presents with known shortcomings, such as long turnaround time, potential shortage of reagents, false-negative rates around 15-20%, and expen...
Artificial Intelligence Applied to Breast MRI for Improved Diagnosis.
Radiology
Oct 20, 2020
Background Recognition of salient MRI morphologic and kinetic features of various malignant tumor subtypes and benign diseases, either visually or with artificial intelligence (AI), allows radiologists to improve diagnoses that may improve patient tr...
Deep learning for identifying corneal diseases from ocular surface slit-lamp photographs.
Scientific reports
Oct 20, 2020
To demonstrate the identification of corneal diseases using a novel deep learning algorithm. A novel hierarchical deep learning network, which is composed of a family of multi-task multi-label learning classifiers representing different levels of eye...
The implementation of a rapid sample preparation method for the detection of SARS-CoV-2 in a diagnostic laboratory in South Africa.
PloS one
Oct 20, 2020
The SARS-CoV-2 pandemic has resulted in shortages of both critical reagents for nucleic acid purification and highly trained staff as supply chains are strained by high demand, public health measures and frequent quarantining and isolation of staff. ...
Clinical Laboratory Techniques
Betacoronavirus
Pneumonia, Viral
Robotics
Reproducibility of Results
South Africa
SARS-CoV-2
RNA, Viral
Coronavirus Infections
Sensitivity and Specificity
Humans
Reverse Transcriptase Polymerase Chain Reaction
COVID-19 Testing
Pandemics
Specimen Handling
COVID-19
Laboratories, Hospital
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