The Diagnostic Imaging AI (artificial intelligence) focus page provides information, videos, podcasts, and the latest news about product developments, trial results, screening guidelines, and protocol guidance that touch on the development and use of AI across the healthcare continuum.
June 7th 2023
Five artificial intelligence (AI) algorithms for mammography assessment were better at predicting breast cancer risk over five years than the Breast Cancer Surveillance Consortium (BCSC) risk model, according to new retrospective research involving over 13,000 women.
Can AI-Powered Virtual Biopsies Improve Detection of Breast Lesion Subtypes on Digital Mammography?October 27th 2022
In separate test sets of Israeli women and United States women who had either ductal carcinoma in situ or invasive breast cancer, emerging artificial intelligence (AI) algorithms achieved an area under the curve (AOC) of 88 percent and 80 percent, respectively, for malignancy detection.
Pediatric Thyroid Nodules on Ultrasound: Deep Learning Model and TI-RADS Show Higher Sensitivity than Radiologist AssessmentOctober 21st 2022
The retrospective study of patients 21 years of age or younger found that a deep learning algorithm and use of the American College of Radiology’s Thyroid Imaging Reporting and Data System (TI-RADS) both had more than a 26 percent greater sensitivity for differentiating thyroid nodules on ultrasound in comparison to radiologist assessment.
Philips Gets FDA Nod for MRI Head and Neck Radiotherapy ApplicationOctober 20th 2022
For physicians performing radiotherapy treatment of soft tissue tumors in the head and neck, the MRCAT Head and Neck offers an artificial intelligence (AI) application that allows the use of magnetic resonance imaging (MRI) as the primary or sole imaging for procedure planning.
HeartFlow Garners FDA Clearances for Two AI-Powered Assessment Tools with CCTAOctober 20th 2022
Plaque Analysis and RoadMap Analysis, two artificial intelligence (AI)-enabled assessment products, may enhance clinical evaluation of coronary artery disease (CAD) on cardiac computed tomography angiography (CCTA).
What Would the Perfect AI Do for This Radiologist?October 10th 2022
While artificial intelligence (AI) models have been acknowledged for aiding imaging analysis or facilitating workflow enhancements, this author envisions AI as a potential workstation conceierge capable of turning common venting and gripes into actionable items for significant improvements.
Adjunctive AI Software for Brain MRI Gets FDA Clearance for Assessing High-Grade GliomasOctober 10th 2022
Incorporating artificial intelligence (AI)-based technology, Neosoma HGG reportedly demonstrated a 95.5 percent accuracy rate in measuring brain tumor volume on brain magnetic resonance imaging (MRI) scans at various points during the treatment of patients with high-grade gliomas.
Flash Versus Function: Does the AI Focus in Radiology Compromise Our Infrastructure Needs?October 3rd 2022
Addressing upgrades of traditional infrastructure used in everyday radiology practice may be a more practical use of resources than investment in artificial intelligence (AI) technology that is still evolving.
MRI Deep Learning Software from GE Healthcare Gets Expanded FDA ClearanceSeptember 29th 2022
AIR Recon DL, a deep learning-based image reconstruction software, will now be available with 3D sequences as well as PROPELLER motion-insensitive sequences on magnetic resonance imaging (MRI) scanners from GE Healthcare.
Emerging Trends in AI, Ultrasound and OB/GYN CareSeptember 21st 2022
Given the influx of artificial intelligence (AI)-powered tools in health care, this author examines the potential intersection of this technology and ultrasound examination in obstetrics and gynecologic (OB/GYN) care
Could a New Deep Learning Tool Enhance CT Detection of Pancreatic Cancer?September 13th 2022
New research reveals that an emerging deep learning tool had comparable sensitivity and specificity to radiologist assessment of contrast-enhanced computed tomography (CT) scans for pancreatic cancer, and a 74.7 percent sensitivity rate for tumors smaller than 2 cm.
CT AI Software for Fracture Risk Gets Breakthrough Device Designation from FDASeptember 13th 2022
Assessing high-resolution computed tomography (CT) scans of the wrist, CurveBeam AI’s OssView software reportedly enables clinicians to ascertain bone fragility and fracture risk for women over the age of 70.
Samsung Gets FDA Nod for Versatile V7 Ultrasound SystemSeptember 9th 2022
Offering uniform high-resolution images through a combination of beamforming and enhanced image processing, the new ultrasound platform reportedly has an array of diagnostic features ranging from cardiovascular applications to breast lesion assessment.
Study: Deep Learning System is Comparable to Radiologist Assessment of Chest X-Rays for TuberculosisSeptember 7th 2022
Examining imaging data of patients from multiple countries, researchers found that a deep learning system demonstrated higher sensitivity and non-inferior specificity for detecting active tuberculosis on chest radiographs in comparison to nine radiologist reviewers.
Emerging AI CT Tool May Provide Viable Complement to Lung-RADS ClassificationSeptember 6th 2022
Researchers suggest that an artificial intelligence (AI)-powered risk stratification tool for lung nodules identified on computed tomography (CT) scans may identify likely malignancies more than one year prior to definitive diagnosis.
Study Suggests AI Improves Chest X-Ray InterpretationSeptember 2nd 2022
Researchers found that stand-alone use of an artificial intelligence (AI) model led to a 24.9 percent increase in sensitivity for diagnosing pulmonary nodules and a 21.4 percent increase in sensitivity for diagnosing pneumonia.
Study Suggests AI is Superior to Sonographer Assessment of Heart Function on EchocardiogramsSeptember 1st 2022
In comparison to initial sonographer assessment of echocardiograms, cardiologists are over 10 percent less likely to change initial artificial intelligence (AI) assessment of left ventricular ejection fraction (LVEF), according to new research recently presented at the European Society of Cardiology Congress in Barcelona, Spain.