Thoracic Imaging: Page 5

Using AI with prior LDCT exams improves lung nodule risk assessment

By Kate Madden Yee

A deep-learning algorithm that incorporates information from prior low-dose CT (LDCT) exams is more effective for estimating three-year malignancy risk of pulmonary nodules than models that use a single CT exam alone, researchers have found.

August 2, 2023

Self-reported delays show pandemic's effect on cancer screening

By Amerigo Allegretto

About one in four women and one in three patients are reporting delays in breast and lung cancer screening stemming from the COVID-19 pandemic, according to survey findings published July 28 in Preventive Medicine.

July 31, 2023

How consistent are rads in reporting incidental findings on LDCT?

By Kate Madden Yee

Radiologist reporting of incidental findings on low-dose CT (LDCT) for lung cancer screening can vary widely -- underscoring the need for standardization, according to a study published July 27 in the Journal of the American College of Radiology.

July 27, 2023

Annalise.ai partners with Ramsay Sime Darby Health Care

By AuntMinnie.com staff writers

Australian-based company Annalise.ai is partnering with Malaysian hospital network Ramsay Sime Darby Health Care, which will integrate Annalise.ai's AI-powered tools into its facilities.

July 26, 2023

AI reduces report turnaround time for PE-positive CTPA exams

By Kate Madden Yee

AI-driven radiology reading worklist management reduces report turnaround for patients positive for pulmonary embolism (PE) on CT pulmonary angiography (CTPA), according to a July 26 study published in the American Journal of Roentgenology.

July 26, 2023

Can AI body composition analysis predict mortality risk on LDCT?

By Erik L. Ridley

An AI algorithm can opportunistically predict patient mortality risk by analyzing body composition on baseline low-dose CT lung cancer screening exams, according to research published July 25 in Radiology.

July 25, 2023

Rad-Aid reports success deploying AI in Guyana, Nigeria

By Will Morton

Rad-Aid International investigators have described a successful strategy for deploying chest x-ray AI to help diagnose tuberculosis in low- and middle-income countries, according to a recent study in the Journal of the American College of Radiology.

July 24, 2023

Can adult-based AI models apply to pediatric chest x-ray imaging?

By Will Morton

An AI model trained to detect pneumonia in chest x-rays of adults may also be valuable in pediatric patients ages 1 to 5, according to a recent study in the Journal of the American College of Radiology.

July 20, 2023

Social factors affect compliance with lung nodule follow-up

By Kate Madden Yee

Community-level social determinants of health are strong predictors of disparities in compliance with incidental lung nodule follow-up, a study published on July 19 in the Journal of the American College of Radiology has found.

July 19, 2023

Riverain touts 263% sales growth, ClearRead contracts

By AuntMinnie.com staff writers

Riverain Technologies saw record sales growth of 263% in the first half of 2023 compared to the same period for the prior year. Its staff also grew by 25%.

July 17, 2023

Median highlights onboarding for iBiopsy validation plan

By AuntMinnie.com staff writers

Median Technologies recently began operations with all investigator sites participating in the company's validation plan for its iBiopsy lung cancer screening AI/machine learning-based computer-aided detection software.

July 17, 2023

PCCT bests standard CT for evaluating lung structure and function

By Kate Madden Yee

Photon-counting CT (PCCT) helps clinicians evaluate lung structure and function better than standard CT, according to a study published July 11 in Radiology.

July 11, 2023

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