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MRI: Page 211

Machine learning forecasts survival in glioma patients
By Erik L. Ridley
Wednesday, November 29 | 3:10 p.m.-3:20 p.m. | SSM12-02 | Room S404CDMachine learning using MRI radiomic features may be able to predict the survival of patients with gliomas, according to this study from a research group in Taiwan.
November 5, 2017
AI may enhance MRI-guided adaptive radiation therapy
By Erik L. Ridley
Wednesday, November 29 | 3:00 p.m.-3:10 p.m. | SSM12-01 | Room S404CDArtificial intelligence (AI) can provide automatic contouring of tumors and organs to support daily MRI-guided adaptive radiation therapy, researchers will report in this Wednesday session.
November 5, 2017
Deep learning can predict infarction risk after stroke
By Erik L. Ridley
Wednesday, November 29 | 11:00 a.m.-11:10 a.m. | SSK15-04 | Room N226In this morning talk, researchers will describe how deep learning can help guide treatment decisions for patients with acute ischemic stroke.
November 5, 2017
CAD software tracks changes in brain metastases
By Erik L. Ridley
Wednesday, November 29 | 11:00 a.m.-11:10 a.m. | RC505-09 | Room E451BComputer-aided detection (CAD) software can be used to detect and quantify changes in brain metastases on MRI, according to researchers from Philadelphia.
November 5, 2017
Machine learning can help predict KRAS mutation status
By Erik L. Ridley
Wednesday, November 29 | 10:40 a.m.-10:50 a.m. | SSK07-02 | Room E353AMachine learning and quantitative MRI features can assist in predicting the KRAS mutation status of tumors in patients with metastatic colon cancer, according to Harvard researchers.
November 5, 2017
Machine learning predicts working memory performance
By Erik L. Ridley
Tuesday, November 28 | 3:30 p.m.-3:40 p.m. | SSJ19-04 | Room N228This Tuesday afternoon session will reveal how machine learning can predict a person's working memory performance by analyzing brain white-matter microstructure.
November 5, 2017
Machine learning differentiates brain tumors
By Erik L. Ridley
Tuesday, November 28 | 3:10 p.m.-3:20 p.m. | SSJ19-02 | Room N228Machine learning can distinguish between glioblastoma multiforme and primary central nervous system lymphoma on multiparametric MRI, according to researchers from Japan.
November 5, 2017
Deep learning with breast MRI boosts lesion detection
By Kate Madden Yee
Tuesday, November 28 | 11:20 a.m.-11:30 a.m. | RC315-14 | Arie Crown TheaterA deep-learning method using multiparametric breast MRI improves automated detection and characterization of breast lesions, according to research being presented at this Tuesday morning session.
November 5, 2017
AI exploits tumor imaging features to predict survival
By Erik L. Ridley
Monday, November 27 | 11:50 a.m.-12:00 p.m. | SSC04-09 | Room E353AArtificial intelligence (AI) can make use of tumor heterogeneity features on MRI to accurately predict the survival of metastatic colon cancer patients, according to a study by Harvard researchers.
November 5, 2017
Breast MRI neural network predicts treatment response
By Kate Madden Yee
Monday, November 27 | 11:50 a.m.-12:00 p.m. | RC215-17 | Arie Crown TheaterIn this session, researchers will discuss how neural networks based on a breast MRI tumor dataset can help clinicians predict patient response to neoadjuvant chemotherapy.
November 5, 2017
eRAD technology assists referral-free MRI
By AuntMinnie.com staff writers
RIS/PACS vendor eRAD has implemented its full collection of services for imaging provider First Look MRI in Hoschton, GA.
November 2, 2017
Bracco declines comment on Norris gadolinium lawsuit
By AuntMinnie.com staff writers
Bracco Imaging has declined to comment on a lawsuit brought by actor Chuck Norris and his wife Gena that alleges the company's MRI gadolinium-based contrast agents are the cause of Gena's severe health problems.
November 2, 2017
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