Recent research has demonstrated that the AI software HeartFocus enabled novice health-care providers to achieve greater than 85 percent agreement with expert sonographers in assessing echocardiographic parameters.
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
In a recent interview, Rebecca Smith-Bindman, M.D., offered key insights on new research examining the link between computed tomography scans and projected future cases of radiation-induced cancer.
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Can CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).
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Dealing with Radiology ‘Orphan Issues’ in Voice Recognition Software
Some abbreviations for radiology transcriptions defy reasonable explanation but they continue to persist on multiple voice recognition platforms.
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Diagnostic Imaging's Weekly Scan: April 6 — April 12
Catch up on the top radiology content of the past week.
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Could Lymph Node Distribution Patterns on CT Improve Staging for Colon Cancer?
For patients with microsatellite instability-high colon cancer, distribution-based clinical lymph node staging (dCN) with computed tomography (CT) offered nearly double the accuracy rate of clinical lymph node staging in a recent study.
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FDA Clears AI-Powered Bone Mineral Density Assessment from Abdominal CT Scans
The Bunkerhill BMD software provides AI-automated assessment of bone mineral density from non-contrast abdominal computed tomography scans.
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Could Ultrafast MRI Enhance Detection of Malignant Foci for Breast Cancer?
In a new study involving over 120 women, nearly two-thirds of whom had a family history of breast cancer, ultrafast MRI findings revealed a 5 percent increase in malignancy risk for each second increase in the difference between lesion and background parenchymal enhancement (BPE) time to enhancement (TTE).
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Study Suggests AI Software May Offer Standalone Value for X-Ray Detection of Pediatric Fractures
Artificial intelligence (AI) software demonstrated a 92 percent sensitivity for detecting fractures in a study involving over 1,600 X-rays from a tertiary pediatric emergency department.
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Imaging-Based Treatment Modifications Only Used in 15 Percent of Neoadjuvant Systemic Therapy Trials for Breast Cancer
A systematic review of 147 clinical trials assessing neoadjuvant systemic therapy for breast cancer also revealed that mid-treatment imaging was utilized in 56 percent of the studies.