Thoracic Imaging: Page 40

AI-based program helps follow up incidental lung nodules on CT

By Kate Madden Yee

Incidental lung nodules on routine CT may develop into cancer. But they can be effectively tracked with a well-designed follow-up program based on artificial intelligence (AI), according to a May 25 talk at the virtual Society for Imaging Informatics in Medicine meeting.

May 27, 2021

Special training not needed for COVID lung ultrasound scoring

By Amerigo Allegretto

Although there were some variations in performance, it may not be necessary for users of lung ultrasound scanners to receive special training before scoring exams of patients with COVID-19, according to research published May 21 in Nature.

May 26, 2021

ACR urges radiologists to submit comments on lung screening

By AuntMinnie.com staff writers

The American College of Radiology (ACR) is calling on radiologists to respond to a solicitation for public comment from the U.S. Centers for Medicare and Medicaid Services about changing its reimbursement policies for CT lung cancer screening.

May 20, 2021

AI predicts cardiovascular risk on LDCT lung cancer screening

By Erik L. Ridley

A deep-learning algorithm can utilize low-dose CT (LDCT) lung cancer screening exams to predict a patient's risk of mortality from cardiovascular disease, according to research published online May 20 in Nature Communications.

May 20, 2021

Deep-learning algorithm estimates cancer risk of pulmonary nodules

By Erik L. Ridley

A deep-learning algorithm can yield comparable performance to experienced thoracic radiologists in estimating the malignancy risk of pulmonary nodules on chest CT exams, according to research published online May 18 in Radiology.

May 18, 2021

Bracco partners with Italian hospitals on COVID archive

By AuntMinnie.com staff writers

Bracco Imaging and partners in Italy have released a large dataset of chest x-rays from COVID-19 patients to facilitate the development of artificial intelligence algorithms.

May 18, 2021

CT identifies candidates for sublobar resection for lung cancer

By AuntMinnie.com staff writers

South Korean researchers have found that certain CT features may help identify which patients with non-small cell lung cancer (NSCLC) could be candidates for sublobar resection rather than more extensive surgery, according to a study published May 13 in the American Journal of Roentgenology.

May 13, 2021

Vida lands deal with Ill. health system

By AuntMinnie.com staff writers

Lung imaging software developer Vida Diagnostics has received a contract for its artificial intelligence-based lung imaging software from OSF HealthCare in Peoria, IL.

May 11, 2021

AI of x-ray predicts prognosis of COVID-19 patients

By Will Morton

Emergency departments may be able to triage high-risk COVID-19 patients on x-ray with the help of an artificial intelligence (AI) model, according to research published May 12 in npj Digital Medicine.

May 11, 2021

MIDRC offers support for COVID-19 AI

By Kate Madden Yee

A project called the Medical Imaging and Data Resource Center (MIDRC) is offering key support for the development of artificial intelligence (AI) for the diagnosis and treatment of COVID-19, according to a presentation delivered May 5 at the AuntMinnie.com Spring 2021 Virtual Conference.

May 4, 2021

Lung ultrasound can determine care needs for COVID patients

By Amerigo Allegretto

Bedside lung ultrasound can determine whether or not COVID-19 patients need admission to intensive care units, according to research from Brazil published May 3 in Ultrasound in Medicine and Biology.

May 4, 2021

AI model predicts progression, mortality in COVID-19 patients

By Erik L. Ridley

An artificial intelligence (AI) algorithm was able to provide highly accurate predictions of a COVID-19 patient's disease progression and mortality based on analysis of chest CT exams in research published online April 29 in Scientific Reports.

May 2, 2021

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