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.
FDA Clears New AI Software for MRI Detection of Prostate CancerAugust 8th 2022
The ProstatID, an adjunctive artificial intelligence software that radiologists can utilize with traditional magnetic resonance imaging (MRI), reportedly measures prostate gland volume, and suggests PI-RADS scoring of suspicious lesions.
Could AI Enhance Early Detection of COVID-19 on Chest X-Rays?August 2nd 2022
Preliminary research revealed an area under the curve (AUC) of 85 percent for an artificial intelligence (AI) algorithm in diagnosing COVID-19 on initial chest X-rays in comparison to a consensus 71 percent AUC for five radiologists.
Study Suggests AI Enhances Non-Contrast CT Detection of Large Vessel OcclusionJuly 29th 2022
Artificial intelligence (AI) accurately diagnosed 79 percent of proximal large vessel occlusions with an ipsiversive gaze deviation on non-contrast computed tomography (CT), according to new research findings presented recently at the Society of Neurointerventional Surgery’s (SNIS) 19th Annual Meeting in Toronto.
Can Machine Learning Enhance Ultrasound Differentiation Between Malignancy and Benign Lymph Node Changes Caused by COVID-19 Vaccination?July 11th 2022
An updated machine learning model demonstrated a 23 percent improvement in accuracy and a 36.1 percent improvement in sensitivity over visual radiologist assessment of ultrasound images for differentiating malignant lymph nodes and benign COVID-19 vaccination-related changes to lymph nodes.
Study Says AI Improves Sensitivity of Fracture Detection by 20 PercentJuly 6th 2022
The study, involving 500 patients, showed that artificial intelligence (AI) assistance enhanced fracture diagnosis on radiographs and reduced reading time for radiologists of varying experience levels.
Could an MRI-Based Machine Learning Model Facilitate Enhanced Detection of Alzheimer's Disease?June 22nd 2022
New research suggests that an emerging predictive biomarker, derived from a combination of magnetic resonance imaging (MRI) brain scans and a machine learning algorithm, has significantly greater accuracy than previously established measurements for diagnosing Alzheimer’s disease.
Essential Questions for Assessing Artificial Intelligence Vendors in RadiologyJune 21st 2022
In a recent video interview, abdominal radiologist Sonia Gupta, MD discussed key principles in assessing potential alliances with artificial intelligence (AI) vendors and the potential of AI to alleviate the time-consuming, administrative aspects of patient care.
AI Software Facilitates 22.1 Percent Reduction in Chest CT Review TimeJune 17th 2022
Noting that an AI software platform could save radiologists up to an hour a day in interpreting chest computed tomography (CT) scans, the authors of a prospective study found shorter mean interpretation times with non-contrast and contrast-enhanced CT as well as positive CT scans with and without significant new findings.
Can AI Help Differentiate Between Tumor Recurrence and Pseudoprogression on MRI in Patients with Glioblastoma?June 10th 2022
The deep learning model may offer enhanced sensitivity and specificity on MRI for patients with glioblastoma, according to preliminary research presented at the Society for Imaging Informatics in Medicine (SIIM) conference.
Detecting Intracranial Hemorrhages: Can an Emerging AI Advance Have an Impact?June 9th 2022
A 3D whole brain convolutional neural network could provide enhanced sensitivity and specificity for diagnosing intracranial hemorrhages on computed tomography, according to new research presented at the Society for Imaging Informatics in Medicine (SIIM) conference in Kissimmee, Fla.
Study Looks at Deep Radiomics Approach for Diagnosing Osteoporosis on Hip X-RaysMay 26th 2022
Deep radiomics models that included deep learning features had a 40 percent or greater increase in the specificity rate for diagnosing osteoporosis on hip radiographs in comparison to models that only emphasized clinical and/or textural features.
PE Triage Platform from RapidAI Receives FDA 510(k) ClearanceMay 25th 2022
The new artificial intelligence-powered software reportedly helps detect central pulmonary embolism (PE) on computed tomography pulmonary angiogram (CTPA) images and streamlines communication among interventional teams to bolster treatment outcomes.