Resources: Page 98

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
Deep-learning tool can help in THA surveillance
By Will Morton
Tuesday, November 30 | 8:00 a.m.-9:00 a.m. | SSMK05-3 | Room TBAResearch to develop a fully automated deep-learning tool to measure femoral component subsidence on hip x-ray without any user input will be discussed in this Tuesday morning session. A team at the Mayo Clinic in Rochester, MN, believes that its artificial intelligence-enabled algorithm could improve total hip arthroplasty (THA) radiographic surveillance efforts.
November 16, 2021
Researchers test x-ray prototype
By Will Morton
Monday, November 29 | 1:30 p.m.-2:30 p.m. | SSPH04-5 | Room TBAThis talk will cover a prototype of a low-dose, multicontrast chest x-ray system that can provide three mutually complementary images from a single acquisition. The new system is fast and eventually could be put to use diagnosing and screening for lung cancer, researchers suggest.
November 16, 2021
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CNN model can help diagnose foot deformity
By Will Morton
Sunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-2 | Room TBASouth Korean researchers will report in this session on a convolutional neural network (CNN) model for automatically diagnosing foot deformity on standing lateral radiographs of the foot. The model appears to work well enough to help in settings with inexperienced readers, according to the group.
November 16, 2021
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