AI: Page 104

Combining radiomics, AI with PET/MRI helps assess nodal status
By Amerigo Allegretto
Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSNMMI01‐3 | Room TBAHere, researchers will talk about how applying radiomics and machine learning to FDG-PET/MRI can noninvasively assess nodal status and treatment planning for breast cancer patients.
November 14, 2021
AI-based measurements increase utility of cardiac MRI
By Erik L. Ridley
Thursday, December 2 | 9:30 a.m.-10:30 a.m. | SSCA10-1 | Room TBAAutomated cardiac MRI measurements correlate better with invasive pulmonary hemodynamics than manual measurements and could also help in predicting mortality, according to this study.
November 14, 2021
Deep learning meets need for speed in spine MRI
By Erik L. Ridley
Thursday, December 2 | 9:30 a.m.-10:30 a.m. | SSNR14-5 | Room TBAIn this session, researchers will show how a deep learning-based image reconstruction method can deliver up to 72% faster spine MRI scan times along with perceived improvements in image quality.
November 14, 2021
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Can AI enable 90% lower gadolinium dose in brain MRI?
By Erik L. Ridley
Thursday, December 2 | 9:30 a.m.-10:30 a.m. | SSNR14-2 | Room TBAAn artificial intelligence (AI) algorithm can enable high-quality contrast-enhanced brain MRI exams to be acquired using only 10% of the normal dose of a gadolinium-based contrast agent, according to this multicenter clinical study.
November 14, 2021
Deep-learning algorithm triages emergency head CTs
By Erik L. Ridley
Wednesday, December 1 | 1:30 p.m.-2:30 p.m. | SSMS05-3 | Room TBAA deep-learning algorithm trained on only normal head CT exams can triage emergency cases for priority review by radiologists, according to this presentation.
November 14, 2021
Deep learning identifies CT biomarkers that help diagnose type 2 diabetes
By Kate Madden Yee
Wednesday, December 1 | 9:30 a.m.-10:30 a.m. | SSGI11-3 | Room TBADeep learning can identify CT biomarkers that help detect and predict type 2 diabetes in patients undergoing CT for other indications, according to this presentation.
November 14, 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 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
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