AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Ultrasonography, Doppler, Color

Showing 11 to 19 of 19 articles

Clear Filters

Does she have adnexal torsion? Prediction of adnexal torsion in reproductive age women.

Archives of gynecology and obstetrics
PURPOSE: The aim of this study was to investigate the association of clinical, laboratory and ultrasound findings with the surgical diagnosis of adnexal torsion in a retrospective cohort of women operated for suspected torsion.

Analyses of a cirrhotic patient's evolution using self organizing mapping and Child-Pugh scoring.

Journal of medical systems
Due to the importance of cirrhosis evolution, this study examined cirrhotic patients using Self Organizing Mapping (SOM) based on the Child-Pugh scoring method. Because Colored Doppler Ultrasound (CDU) has too many parameters, scoring can be a very d...

[Diagnosis Values of Back Propagation Neural Network Integrating Age, Transrectal Ultrasound Characteristics and Serum PSA for Prostate Cancer].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
OBJECTIVE: To explore the diagnosis value of back propagation (BP) neural network integrating age, transrectal ultrasound characteristics and serum prostate specific antigen (PSA) for prostate cancer.

Breast osteoblastoma and recurrence after resection: Demonstration by color Doppler ultrasound.

Journal of X-ray science and technology
Osteoblastoma is a rare benign primary bone tumor, which occurs in any part of the skeleton. Extraskeletal osteoblastoma is rather rare. We presented an extremely rare case of extraskeletal osteoblastoma located in the breast. The tumor recurred 7 mo...

Machine learning for diagnostic ultrasound of triple-negative breast cancer.

Breast cancer research and treatment
PURPOSE: Early diagnosis of triple-negative (TN) breast cancer is important due to its aggressive biological characteristics, poor clinical outcomes, and limited options for therapy. The goal of this study is to evaluate the potential of machine lear...

A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow.

Journal of the American College of Radiology : JACR
Ultrasound is the most commonly used imaging modality in clinical practice because it is a nonionizing, low-cost, and portable point-of-care imaging tool that provides real-time images. Artificial intelligence (AI)-powered ultrasound is becoming more...

Colour Doppler ultrasound of temporal arteries for the diagnosis of giant cell arteritis: a multicentre deep learning study.

Clinical and experimental rheumatology
OBJECTIVES: Giant cell arteritis (GCA) is the most common systemic vasculitis in adults. In recent years, colour Doppler ultrasound of the temporal arteries (CDU) has proven to be a powerful non-invasive diagnostic tool, but its place in the diagnosi...

A Deep Learning Approach to Resolve Aliasing Artifacts in Ultrasound Color Flow Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Despite being used clinically as a noninvasive flow visualization tool, color flow imaging (CFI) is known to be prone to aliasing artifacts that arise due to fast blood flow beyond the detectable limit. From a visualization standpoint, these aliasing...