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AI: Page 197
Median posts healthy 6-month revenues
By
AuntMinnie.com staff writers
Imaging software developer Median Technologies has posted increased revenues in its first half of 2019.
July 10, 2019
Deep learning comparable to rads for thyroid management
By
Kate Madden Yee
A deep-learning algorithm performs comparably to radiologists and may improve radiology workflow for determining whether a thyroid nodule should be biopsied, according to a new study published online July 9 in
Radiology
.
July 10, 2019
AI, AR enable real-time pain assessment on virtual brain
By
Abraham Kim
Researchers from Michigan have developed a new technique for real-time pain assessment on virtual 3D brain models using a combination of artificial intelligence (AI) algorithms and augmented reality (AR) technology. They detail their method in an article recently published in the
Journal of Medical Internet Research
.
July 9, 2019
Advances in imaging, AI make cardiac MRI more accessible
By
Dr. Melany B. Atkins
Cardiac MRI is often a last resort in imaging modalities, for reasons including difficulty of image acquisition, cost, and hardware availability. Dr. Melany B. Atkins discusses the advantages that technologies such as 4D flow and artificial intelligence (AI) bring to cardiac MRI and how their use can benefit both patients and providers.
July 9, 2019
iSchemaView scores Japanese approval for Rapid software
By
AuntMinnie.com staff writers
Cerebrovascular imaging software developer iSchemaView has received registration approval from the Japanese Association for the Advancement of Medical Equipment for its Rapid imaging software platform.
July 7, 2019
AI tops recent imaging informatics highlights
By
Erik L. Ridley
Artificial intelligence (AI) has been the driving force behind the most important recent advances achieved in imaging informatics, according to a presentation last week at the Society for Imaging Informatics in Medicine (SIIM) annual meeting in Denver.
July 2, 2019
Deep-learning model predicts 5-year breast cancer risk
By
Kate Madden Yee
A deep-learning model created using data from a single breast MR image can help predict the five-year risk for women whose chances of developing breast cancer are higher, according to a study published in the July issue of the
American Journal of Roentgenology
.
July 1, 2019
Konica Minolta, DiA partner on AI for cardiac ultrasound
By
AuntMinnie.com staff writers
Konica Minolta Healthcare Americas is expanding the analysis capabilities of its Exa Cardio PACS software by adding the LVivo Toolbox from ultrasound artificial intelligence (AI) software developer DiA Imaging Analysis.
June 30, 2019
SIIM: AI boosts triage efficiency for aortic tears on CTA
By
Abraham Kim
DENVER - An artificial intelligence (AI) algorithm was able to screen for aortic dissection and rupture on CT angiography (CTA) scans with high accuracy -- improving triage efficiency for the conditions prior to radiologist review – in a new study, presented Friday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.
June 30, 2019
SIIM: AI can detect, classify TB on chest x-rays
By
Erik L. Ridley
DENVER - An artificial intelligence (AI) algorithm can accurately detect, localize, and classify suspected tuberculosis (TB) on chest x-rays, according to research presented Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.
June 30, 2019
Video from SIIM 2019: Dr. Howard Chen on recent advances in imaging informatics
DENVER - What were the key developments in imaging informatics in 2018? Dr. Howard Chen of the Cleveland Clinic highlights five significant trends and discusses their potential influence on the future direction of the field in this video from the Society for Imaging Informatics in Medicine (SIIM) annual meeting.
June 27, 2019
SIIM: AI exploits CT sinogram data to find lung nodules
By
Erik L. Ridley
DENVER - An artificial intelligence (AI) algorithm can accurately detect lung nodules on CT by analyzing both the reconstructed image and the raw sinogram data, according to research presented Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.
June 27, 2019
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