Resources: Page 98

Vida to demo new AI-powered portal at RSNA 2021
By AuntMinnie.com staff writers
Lung imaging software developer Vida Diagnostics will demonstrate a new artificial intelligence (AI)-powered portal for managing respiratory clinical trials at the RSNA 2021 annual meeting.
November 16, 2021
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Road to RSNA 2021: Digital X-Ray Preview
By Will Morton
Experts suggest one reason digital x-ray is an attractive modality to researchers developing artificial intelligence models is that large patient datasets are more available than in other modalities. The chest radiographs used in data analysis for the studies we've highlighted in this Road to RSNA section alone number in the hundreds of thousands.
November 16, 2021
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Deep-learning model meets WHO guideline for diagnosing tuberculosis
By Will Morton
Prerecorded, available throughout meeting | SPR-IN-12In this informatics session, a team at Google Health in Palo Alto, CA, will present work on a deep-learning model for detecting active pulmonary tuberculosis using chest x-rays from countries across Africa, Asia, and Europe. The model surpassed World Health Organization (WHO) performance targets and could assist cost-effective screening efforts in radiologist-limited settings, according to the researchers.
November 16, 2021
More women joining the VIR workforce than other specialties
By Will Morton
Monday, November 29 | 8:00 a.m.-9:00 a.m. | SSNPM01-5 | Room TBAIn this session on diversity, equity, and inclusion in radiology, researchers from Johns Hopkins Hospital will present evidence showing that the number of women in the vascular and interventional radiology (VIR) workforce in the U.S. is increasing. The trend could help stem the negative effect on patient outcomes due to the overall U.S. physician shortage predicted by 2030, the group believes.
November 16, 2021
How does low-dose CT compare with x-ray for diagnosing lung disease?
By Kate Madden Yee
Prerecorded, available throughout meeting | SPR-MS-9In this session, researchers from Amsterdam University Medical Center in the Netherlands will offer insight into the pros and cons of using ultralow-dose CT compared to x-ray to diagnose nontraumatic pulmonary disease in emergency department patients.
November 16, 2021
AI illuminates health disparities in COVID-19 patients
By Erik L. Ridley
Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSIN06-1 | Room TBAIn this talk, researchers will describe how an artificial intelligence (AI) algorithm can reveal racial or ethnic disparities in COVID-19 patients based on their chest x-rays.
November 16, 2021
Algorithm enhances survival predictions in lung cancer
By Erik L. Ridley
Monday, November 29 | 9:30 a.m.-10:00 a.m. | SSCH03-2 | Room TBAArtificial intelligence-based assessment of biological chest age on chest radiographs can help to predict survival in lung cancer patients, according to this presentation.
November 16, 2021
Models predict mortality risk on total-body DEXA exams
By Erik L. Ridley
Sunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-3 | Room TBAArtificial intelligence can spot changes in body composition over time on total-body dual-energy x-ray absorptiometry (DEXA) exams and predict mortality risk, according to this presentation.
November 16, 2021
AI captures bone mineral density data from hip x-rays
By Erik L. Ridley
Sunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-1 | Room TBAIn this talk, researchers will show how bone mineral density data can be obtained from hip radiographs by an artificial intelligence (AI) algorithm.
November 16, 2021
AI models don't hold up when applied to external test datasets
By Will Morton
Wednesday, December 1 | 3:00 p.m.-4:00 p.m. | SSPH12-2 | Room TBAMany artificial intelligence (AI)-based algorithms have shown promise in detecting COVID-19 on chest x-ray; however, a team in this afternoon presentation asks, "Can a deep-learning model trained from one clinical site be applied to other sites?" The case report offers the very first set of scientific data regarding the generalizability of AI models in radiology, according to the group.
November 16, 2021
Can an AI model improve radiologist scheduling?
By Will Morton
Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSIN06-5 | Room TBAIn this session, researchers from Cincinnati Children's Hospital Medical Center will discuss progress on an artificial intelligence (AI) algorithm to optimize radiologist scheduling for radiographs. Schedules are usually constructed so that a predetermined, fixed number of radiologists cover a service. But what if the daily study volume goes up or the potential radiologist capacity drops?
November 16, 2021
DSM-TACE is safe when nothing else works
By Will Morton
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSIR02-5 | Room TBAThis interventional radiology session will provide information on a German study that evaluated the safety and efficacy of transarterial chemoembolization with degradable starch microspheres (DSM-TACE) for patients with unresectable hepatocellular carcinoma. The patients had high tumor burden and were ineligible for or were failing other palliative therapies.
November 16, 2021
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