Imaging Informatics: Page 310

Report: Millions of imaging studies exposed online
By AuntMinnie.com staff writers
Data security firm Digital Shadows said that it has found 4.4 million DICOM medical imaging files left exposed in online file repositories worldwide -- twice the number of openly accessible imaging files discovered when the company last performed its survey in 2018.
June 4, 2019
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Client Outlook signs Duke University
By AuntMinnie.com staff writers
Image viewing software developer Client Outlook has delivered its eUnity image viewing platform to Duke University Health System.
June 3, 2019
PaxeraHealth grows client base in Chile
By AuntMinnie.com staff writers
RIS/PACS vendor PaxeraHealth has won four new contracts for its PaxeraUltima PACS software in Chile.
June 3, 2019
AR, 3D printing enhance planning for complex heart surgery
By AuntMinnie.com staff writers
Researchers from Italy used augmented reality (AR) and 3D printing technology to plan surgery for a woman with a series of health complications, including ovarian cancer and an atrial septal defect, according to a case study recently published online in JACC: Cardiovascular Interventions.
June 3, 2019
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AI can trim mammography workload for radiologists
By Erik L. Ridley
An artificial intelligence (AI) algorithm can sharply decrease the number of mammograms that require interpretation by radiologists -- without affecting diagnostic accuracy, according to research published online May 30 in the Journal of the American College of Radiology.
June 3, 2019
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ACR, SIIM, STR announce AI challenge for pneumothorax
By AuntMinnie.com staff writers
A machine-learning challenge to develop algorithms for the detection of pneumothorax on x-ray is being hosted by the American College of Radiology (ACR), the Society for Imaging Informatics in Medicine (SIIM), and the Society of Thoracic Radiology (STR), along with imaging artificial intelligence (AI) developer MD.ai.
June 2, 2019
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Video from RSNA AI Spotlight: Dr. Charles Kahn on AI
BURLINGAME, CA - What are the most promising applications of artificial intelligence (AI) in radiology in the near future? Dr. Charles Kahn of the University of Pennsylvania believes that nonimaging applications could be among the most exciting new uses and discusses some of them in this video interview at the RSNA Spotlight Course: Radiology in the Age of AI.
June 2, 2019
2019 05 31 21 27 0589 Kahn Charles Rsna Ai Spotlight 400
Ng details key steps for the adoption of AI in radiology
By Abraham Kim
BURLINGAME, CA - With the advance of artificial intelligence (AI) in medicine well underway, what's holding AI back from being deployed in clinical practice? AI luminary Andrew Ng, PhD, discussed several challenges to the process and the role radiologists can play in overcoming them during a keynote address delivered May 31 at the RSNA Spotlight Course: Radiology in the Age of AI.
May 30, 2019
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Video from RSNA AI Spotlight: Dr. Curtis Langlotz on AI
BURLINGAME, CA - What impact will artificial intelligence (AI) have on radiology? Dr. Curtis Langlotz, PhD, of Stanford University sees AI as just the latest in a series of technological revolutions that have reshaped medical imaging over the decades. He discussed this idea in a video interview at the RSNA Spotlight Course: Radiology in the Age of AI.
May 30, 2019
2019 05 31 19 58 6338 Langlotz Curtiz Rsna Ai Spotlight 400
Ambra expands customer list
By AuntMinnie.com staff writers
Cloud-based software company Ambra Health said it has signed on 57 new customers so far in 2019 for its image exchange and storage platform.
May 30, 2019
AI may help reduce overdiagnosis of breast cancer
By Erik L. Ridley
Utilizing both clinical and imaging data, a risk-assessment model based on artificial intelligence (AI) called the Breast Cancer Risk Calculator could avoid many unnecessary biopsies in patients with BI-RADS 4 mammography findings, according to research published online May 29 in JCO Clinical Cancer Informatics.
May 30, 2019
2016 08 26 11 32 34 470 Breast Mammo 400
AI enhances detection of pulmonary nodules
By Erik L. Ridley
An artificial intelligence (AI) algorithm can improve radiologists' performance for detecting pulmonary nodules on chest CT scans while also speeding up reading times, researchers from China reported in an article published online May 29 in Radiology: Artificial Intelligence.
May 30, 2019
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