Advanced Visualization: Page 40

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 N226Researchers will discuss in this Sunday session how applying radiomics and machine learning to FDG-PET/MRI can noninvasively assess nodal status and treatment planning for breast cancer patients.

November 23, 2021

Can cooled RF ablation relieve post-knee replacement pain?

By Erik L. Ridley

Cooled radiofrequency (RF) ablation procedures can relieve pain that persists following total knee replacement, according to new research being presented at the RSNA 2021 meeting in Chicago.

November 22, 2021

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 N226Here, 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 22, 2021

Road to RSNA 2021: Imaging Informatics Preview

By Erik L. Ridley

Our next destination on the Road to RSNA is imaging informatics -- specifically, enterprise imaging, cybersecurity, structured reporting, clinical decision support, analytics, radiomics, and issues regarding patient access to radiology results.

November 21, 2021

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 N226Here, 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 21, 2021

CT radiomics help stratify risk in NSCLC patients

By Erik L. Ridley

Tuesday, November 30 | 3:00 p.m.-4:00 p.m. | SSIN05-1 | Room S401In this session, researchers will share how CT radiomics can enable prognostic stratification in patients with non-small cell lung cancer (NSCLC).

November 21, 2021

Radiomics helps predict rectal cancer treatment response

By Erik L. Ridley

Sunday, November 28 | 10:30 a.m.-11:30 a.m. | SSGI01-1 | Room S404The combination of radiologist assessment and a radiomics classifier can significantly improve the accuracy of MRI for predicting treatment response in cases of rectal cancer, according to this scientific presentation.

November 21, 2021

CaliberMRI unveils MRI quality control platform

By AuntMinnie.com staff writers

Quantitative MRI technology developer CaliberMRI has introduced quantitative MRI analysis hardware and software designed to calibrate MRI scanners and standardize data to enable comparison across imaging sites.

November 18, 2021

Photon-counting CT makes modality more effective for breast imaging

By Kate Madden Yee

Tuesday, November 30 | 9:30 a.m.-10:30 a.m. | SSPH09-5 | Room TBAIn this Tuesday morning presentation, research findings will show how high-resolution photon-counting CT used with deep-learning image processing can expand the modality's role in breast cancer imaging.

November 17, 2021

Imaging AI startup LifeVoxel.AI raises $5M

By AuntMinnie.com staff writers

Medical imaging artificial intelligence (AI) and advanced visualization startup LifeVoxel.AI has raised $5 million in seed funding.

November 16, 2021

Harmonic, subharmonic ultrasound characterizes breast lesions

By Amerigo Allegretto

Monday, November 29 | 3:00 p.m.-4:00 p.m. | SSBR04-4 | Room TBAIn this presentation, Flemming Forsberg, PhD, from Thomas Jefferson University in Philadelphia will discuss characterizing breast lesions with 3D harmonic and subharmonic ultrasound.

November 15, 2021

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 15, 2021

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