AIMC Topic: Sensitivity and Specificity
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Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence.
Radiology
Dec 21, 2021
Background Missed fractures are a common cause of diagnostic discrepancy between initial radiographic interpretation and the final read by board-certified radiologists. Purpose To assess the effect of assistance by artificial intelligence (AI) on dia...
Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.
Scientific reports
Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Middle Aged
Exercise
Surveys and Questionnaires
Time Factors
Chronic Exertional Compartment Syndrome
ROC Curve
Young Adult
Treatment Outcome
Adult
Linear Models
Support Vector Machine
Humans
Sensitivity and Specificity
Leg
Lower Extremity
Machine Learning
Male
Prognosis
Models, Statistical
Fasciotomy
Female
Return to Work
Area Under Curve
Reproducibility of Results
Military Personnel
Diagnostic Value of SonoVue Contrast-Enhanced Ultrasonography in Nipple Discharge Based on Artificial Intelligence.
Journal of healthcare engineering
Dec 16, 2021
This paper aims to explore the application value of SonoVue contrast-enhanced ultrasonography based on deep unsupervised learning (DNS) in the diagnosis of nipple discharge. In this paper, a new model (ODNS) is proposed based on the unsupervised lear...
The lesion detection efficacy of deep learning on automatic breast ultrasound and factors affecting its efficacy: a pilot study.
The British journal of radiology
Dec 15, 2021
OBJECTIVES: The aim of this study was to investigate the detection efficacy of deep learning (DL) for automatic breast ultrasound (ABUS) and factors affecting its efficacy.
Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation.
Radiology
Dec 14, 2021
Background Use of artificial intelligence (AI) as a stand-alone reader for digital mammography (DM) or digital breast tomosynthesis (DBT) breast screening could ease radiologists' workload while maintaining quality. Purpose To retrospectively evaluat...
Using a convolutional neural network for classification of squamous and non-squamous non-small cell lung cancer based on diagnostic histopathology HES images.
Scientific reports
Dec 13, 2021
Histological stratification in metastatic non-small cell lung cancer (NSCLC) is essential to properly guide therapy. Morphological evaluation remains the basis for subtyping and is completed by additional immunohistochemistry labelling to confirm the...
Deep Learning Assisted Diagnosis of Musculoskeletal Tumors Based on Contrast-Enhanced Magnetic Resonance Imaging.
Journal of magnetic resonance imaging : JMRI
Dec 9, 2021
BACKGROUND: Misdiagnosis of malignant musculoskeletal tumors may lead to the delay of intervention, resulting in amputation or death.
An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres.
BMC pregnancy and childbirth
Dec 8, 2021
BACKGROUND: Gestational diabetes mellitus (GDM) is one of the critical causes of adverse perinatal outcomes. A reliable estimate of GDM in early pregnancy would facilitate intervention plans for maternal and infant health care to prevent the risk of ...
Deep learning computer-aided detection system for pneumonia in febrile neutropenia patients: a diagnostic cohort study.
BMC pulmonary medicine
Dec 7, 2021
BACKGROUND: Diagnosis of pneumonia is critical in managing patients with febrile neutropenia (FN), however, chest X-ray (CXR) has limited performance in the detection of pneumonia. We aimed to evaluate the performance of a deep learning-based compute...
Septicemic Melioidosis Detection Using Support Vector Machine with Five Immune Cell Types.
Disease markers
Dec 6, 2021
Melioidosis, caused by (), predominantly occurs in the tropical regions. Of various types of melioidosis, septicemic melioidosis is the most lethal one with a mortality rate of 40%. Early detection of the disease is paramount for the better chances ...
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