Imaging Informatics: Page 299

Data biases for AI could worsen healthcare disparities
By Erik L. Ridley
Careful stewardship of the integrity of big data is crucial to ensure that inherent biases contained in datasets used to train artificial intelligence (AI) algorithms don't make existing disparities in healthcare even worse, according to an article published online August 19 in npj Digital Medicine.
August 20, 2019
2019 08 20 21 10 2415 Data Head 400
3D models advance therapy for heart rhythm disorders
By Abraham Kim
3D heart models based on MRI scans allowed for the virtual simulation of existing and future irregular heartbeats in patients with atrial fibrillation in a new study, published online August 19 in Nature Biomedical Engineering. The models helped pinpoint distinct regions in the patients' heart that would benefit most from ablation therapy.
August 20, 2019
2019 08 20 21 40 7879 2019 08 21 3 D Heart Map 20190820210640
Sectra lands order from Vanderbilt Health
By AuntMinnie.com staff writers
PACS provider Sectra has received an enterprise imaging contract from Vanderbilt Health in Nashville, TN.
August 19, 2019
2018 12 07 23 24 1738 Sectra Rsna 2018 400
Perspectum forms partnership with ProPath
By AuntMinnie.com staff writers
Image analysis software developer Perspectum Diagnostics said its new partnership with pathology services provider ProPath will enable pharmaceutical companies to receive both pathology and imaging interpretation services for liver disease clinical trials from one contract research organization.
August 19, 2019
2019 08 20 17 58 3943 Pathology Slide Liver 400
Terason teams up with DiA Imaging Analysis
By AuntMinnie.com staff writers
Ultrasound technology firm Terason has formed a partnership with ultrasound artificial intelligence software developer DiA Imaging Analysis.
August 19, 2019
4 applications of cinematic rendering in maxillofacial CT
By Abraham Kim
Swiss researchers have used cinematic rendering to create photorealistic images of head CT and conebeam CT scans. They assess the potential benefits of integrating these images into the evaluation of maxillofacial anatomy and pathology in a study recently published online in Dentomaxillofacial Radiology.
August 19, 2019
2019 08 16 22 17 4211 Cinematic Rendering Mouth 20190816225654
Preparing healthcare IT architecture for AI: Part 2
By Erik L. Ridley
Preparing IT architecture for artificial intelligence (AI) and business intelligence and analytics in radiology requires a broad strategic architectural perspective and governance that often have been lacking at healthcare institutions, according to Dr. Paul Chang of the University of Chicago.
August 19, 2019
2018 11 26 22 15 2092 Chang Paul Rsna2018 V2 400
Preparing healthcare IT architecture for AI: Part 1
By Erik L. Ridley
The widespread adoption of artificial intelligence (AI) in radiology could be delayed by significant architectural shortcomings in current healthcare IT infrastructure, according to Dr. Paul Chang of the University of Chicago. He spoke on Thursday in a webinar held by the Society for Imaging Informatics in Medicine (SIIM).
August 15, 2019
2018 11 26 22 15 2092 Chang Paul Rsna2018 V2 400
AI can find patients at risk for MRI safety issues
By Erik L. Ridley
Using artificial intelligence (AI) to analyze clinical reports in electronic health records can accurately identify patients who have implantable devices that pose a safety risk for MRI exams, according to research published online August 12 in the Journal of the American College of Radiology.
August 15, 2019
2019 08 15 20 38 9073 Patient Safety 400
7T MRI and 3D printing uncover signs of severe MS
By Abraham Kim
A combination of 7-tesla MRI and 3D printing technology has revealed that patients with a growing number of chronic active brain lesions are also more likely to have more debilitating forms of multiple sclerosis (MS), including individuals receiving standard treatment. The findings were published online August 12 in JAMA Neurology.
August 13, 2019
2019 08 13 22 04 4334 Brain Mri Ms 20190813222347
AI, plaque quantification predicts cardiac outcomes
By Erik L. Ridley
The combination of plaque quantified on coronary CT angiography and artificial intelligence (AI)-powered fractional flow reserve analysis can accurately predict future major adverse cardiac events, according to research published online August 8 in the American Journal of Cardiology.
August 12, 2019
2016 12 01 17 10 35 256 Pulmonary Trunk Heart 400
GE, Fujitsu lead research effort on AI for brain aneurysms
By AuntMinnie.com staff writers
GE Healthcare has partnered with Fujitsu Australia, Macquarie University, and Macquarie Medical Imaging to develop artificial intelligence (AI) algorithms that can help clinicians diagnose and monitor brain aneurysms on CT scans.
August 11, 2019
2018 08 10 22 42 4903 Artificial Intelligence Brain 400
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