Daniel Hägg and Emil Styrke

Image Processing
Imaging vendors have options for image processing hardware
When developing new imaging systems, OEMs can choose from many types of computer hardware platforms. Platform selection in turn affects the type of image processing to be used, which then influences the radiologist's work when viewing medical images. Software architects from advanced visualization developer ContextVision offer some guidance.
March 26, 2015
2014 01 23 14 51 33 773 Data Stream 200
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MRI
New MRI method shows treatment effects in lung transplant patients
A new method of MRI lung scanning shows the effects of treatment for compromised lung function in transplant patients, U.K. researchers have reported.
Researchers have developed a CT-based deep-learning model for predicting liver decompensation in PSC patients. Pictured is the team's diagram of the pipeline it developed for distinguishing between decompensation and no decompensation is presented in various planes. Image courtesy of Yashbir Singh, PhD.
CT
Deep-learning model plus CT predicts liver decompensation in PSC patients
Capitol Hill2
Practice Management
Medical groups critical of trimmed version of passed CR
Am 2022 06 09 21 09 4701 Pulmonary Embolism Illustration V2 400
CT
AI improves diagnosis of acute PE, and thus patient care
Top 10 Gold Social
Clinical News
Body composition analysis, MRI safety topped 2024's most read articles
More in Home
New MRI method shows treatment effects in lung transplant patients
By Kate Madden Yee
A new method of MRI lung scanning shows the effects of treatment for compromised lung function in transplant patients, U.K. researchers have reported.
December 24, 2024
Lung Function Mri Showing Measurements In Lung Transplant Recipients Thumbnail
Deep-learning model plus CT predicts liver decompensation in PSC patients
By Amerigo Allegretto
A deep-learning model applied to CT imaging can predict liver decompensation in patients with primary sclerosing cholangitis (PSC).
December 23, 2024
Researchers have developed a CT-based deep-learning model for predicting liver decompensation in PSC patients. Pictured is the team's diagram of the pipeline it developed for distinguishing between decompensation and no decompensation is presented in various planes. Image courtesy of Yashbir Singh, PhD.
Medical groups critical of trimmed version of passed CR
By Amerigo Allegretto
Medical groups are calling the final continuing resolution (CR) from Congress a mixed bag when it comes to addressing healthcare concerns.
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Capitol Hill2
AI improves diagnosis of acute PE, and thus patient care
By Kate Madden Yee
Using an AI-based prioritization algorithm with CTPA to diagnose acute pulmonary embolism could enhance patient care by getting imaging results to clinicians more quickly.
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Am 2022 06 09 21 09 4701 Pulmonary Embolism Illustration V2 400
Body composition analysis, MRI safety topped 2024's most read articles
By Liz Carey
While COVID and radiology salaries hit the top of AuntMinnie.com's Top 10 most-read posts of 2023, they rounded out the bottom of this year's list.
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Top 10 Gold Social
Neiman index outperforms Charlson for predicting imaging use
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The Neiman Imaging Comorbidity Index outperforms the Charlson Comorbidity Index for predicting advanced imaging use.
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Neiman Hpi
40% of women in their 40s forgo biennial breast cancer screening
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About two in every five women in their 40s do not undergo biennial breast cancer screening per USPSTF recommendations.
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Mammogram Patient
Practices must comply with the Corporate Transparency Act
By Healthcare Administrative Partners
A new column from Healthcare Administrative Partners discusses the impact of the Corporate Transparency Act on medical practices.
December 20, 2024
Corporate Transparency
Kidneys appear to tolerate Lu-177 treatments
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Kidney-absorbed doses of lutetium-177 (Lu-177)-based treatments for prostate cancer and neuroendocrine tumors appear to be below toxicity thresholds.
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Higher Medicaid-to-Medicare reimbursement ratios boost imaging use
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Higher Medicaid-to-Medicare reimbursement ratios are linked to increased likelihood of Medicaid patients receiving CT, MR, ultrasound, and x-ray imaging.
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Money Hundred Bills
AI algorithm 'harmonizes' brain MRI data from different scanners
By Kate Madden Yee
A novel machine-learning algorithm used with MRI can harmonize brain volumetric data of patients undergoing Alzheimer's disease assessment gathered from different scanners.
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Mri Brain Head
Recommendations address AI bias, data transparency
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New recommendations seek to make medical AI safe and effective for everyone by tackling the issues of bias and transparency.
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Artificial Intelligence Ai Suit
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