AI: Page 105

PaxeraHealth set to debut Ark at RSNA 2021
By AuntMinnie.com staff writers
PaxeraHealth will be launching its Ark artificial intelligence platform at next week's annual RSNA meeting in Chicago.
November 16, 2021
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Illuminate will unveil AI patient tracking at RSNA 2021
By AuntMinnie.com staff writers
Artificial intelligence (AI) software developer Illuminate will be presenting its ActKnowledge AI-based enterprise patient tracking software at RSNA 2021 in Chicago.
November 16, 2021
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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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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
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
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
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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