AI: Page 108

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 14, 2021
Explainable artificial intelligence elevates prostate MRI reads
By Erik L. Ridley
Wednesday, December 1 | 8:00 a.m.-8:30 a.m. | SSGU05-4 | Room TBAAn explainable deep-learning software application can be highly accurate for characterizing prostate lesions on biparametric MRI exams, according to this scientific presentation.
November 14, 2021
AI finds there's more on chest x-rays than meets the eye
By Erik L. Ridley
Tuesday, November 30 | 3:00 p.m.-4:00 p.m. | SSIN05-6 | Room TBAA patient's biological age, sex, ethnicity, and insurance status can be predicted by an artificial intelligence (AI) model's analysis of his or her chest radiograph, according to this presentation.
November 14, 2021
Deep-learning algorithm predicts survival for COPD
By Erik L. Ridley
Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSCH04-2 | Room TBAA deep-learning algorithm can enable significantly more accurate survival predictions in patients with chronic obstructive pulmonary disease (COPD), according to this study.
November 14, 2021
Coronary stenosis algorithm bolsters reproducibility
By Erik L. Ridley
Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSCA04-2 | Room TBACoronary stenosis evaluation on coronary CT angiography can be improved with the assistance of an artificial intelligence algorithm, according to this presentation.
November 14, 2021
Can AI help guide management of COVID-19 patients?
By Erik L. Ridley
Monday, November 29 | 1:30 p.m.-2:30 p.m. | SSPH05-2 | Room TBAIn this session, researchers will discuss the potential of artificial intelligence (AI) for supporting treatment decisions in COVID-19 patients.
November 14, 2021
Algorithm helps monitor HCC treatment response
By Erik L. Ridley
Monday, November 29 | 9:30 a.m.-10:30 a.m. | SSGI06-5 | Room TBAA deep learning-based software application can improve the objectivity of treatment response evaluation in patients with hepatocellular carcinoma (HCC), according to this presentation.
November 14, 2021
Federated learning facilitates algorithm training
By Erik L. Ridley
Monday, November 29 | 9:30 a.m.-10:00 a.m. | SSGI05-2 | Room TBAIn this talk, researchers will share their success in using federated learning to train deep-learning algorithms for liver and tumor segmentation on hepatic CT exams.
November 14, 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 14, 2021
AI catches missed limb, pelvic bone fractures on x-rays
By Erik L. Ridley
Sunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-5 | Room TBAAn artificial intelligence (AI) algorithm can detect limb or pelvic bone fractures that were initially missed on radiographs, according to this study from France.
November 14, 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 14, 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 14, 2021
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