Medical Imaging News and Research

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Deploying artificial intelligence to prevent delayed and missed care

Medical imaging is one of the most widely used diagnostic tools in health care with providers ordering dozens of imaging studies for their patients every day.

16 Mar 2022

FUJIFILM Healthcare Europe presents ECHELON™ Smart Plus™

ECHELON™ Smart Plus™ with ‘REALISE Plus’ boosts you to the next level, thanks to an impressive enhancement of the SynergyDrive™ Automation Suite.

From FUJIFILM Corporation 8 Mar 2022

See it to Believe it: How Medical Imaging Technologies Could Help Reduce Health Risks and Inspire Behavior Change

In this interview, we speak to Dr Gareth Hollands about his latest research that investigated the use of medical imaging to reduce health risks and encourage behavior change.

4 Mar 2022

Visualizing health risks with medical imaging may discourage risk-related behaviors, finds study

They say a picture can convey a thousand words, and researchers have found that using medical imaging technologies that can visualize health may discourage risk-related behaviors more than non-visual information.

4 Mar 2022

AI and machine learning could improve cancer diagnosis through biomarker discovery

Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have transformed many industries and areas of science.

1 Mar 2022

UCLA expert urges caution on the adoption of AI technology to analyze breast tumors

Analyzing breast-cancer tumors with artificial intelligence has the potential to improve healthcare efficiency and outcomes. But doctors should proceed cautiously, because similar technological leaps previously led to higher rates of false-positive tests and over-treatment.

25 Feb 2022

Online patient experience ratings provide radiologists with feedback for improving performance

According to an article in ARRS' American Journal of Roentgenology (AJR), online patient experience ratings provide radiologists with critical feedback for improving performance, as well as a unique opportunity to communicate imaging's overall role inpatient care.

24 Feb 2022

Digital breast tomosynthesis spot compression view could help characterize equivocal findings

According to an article in ARRS' American Journal of Roentgenology (AJR), digital breast tomosynthesis (DBT) spot compression view could help characterize equivocal DBT findings, thus reducing further workup for benign findings.

16 Feb 2022

NHS in England set to trial a new approach for ethical adoption of AI in healthcare

Biases in artificial intelligence will aim to be eradicated in a world first as the NHS in England trials a new approach to the ethical adoption of AI in healthcare.

8 Feb 2022

Study: COVID-19 infections tend to be milder in fully vaccinated patients

The clinical and imaging characteristics of COVID-19 breakthrough infections in fully vaccinated patients tend to be milder than those of partially vaccinated or unvaccinated patients, according to a new multicenter study published in the journal Radiology.

1 Feb 2022

Pilot human trial uses new falloposcope device to capture images of fallopian tubes

Due to a lack of effective screening and diagnostic tools, more than three-fourths of ovarian cancer cases are not found until the cancer is in an advanced stage.

22 Jan 2022

Brain volume measurements show differences between conventional and ultrafast 3D T1W MRI sequences

According to an article in ARRS' American Journal of Roentgenology, brain volume measurements in memory-impaired patients show significant differences and systematic biases between conventional and ultrafast 3D T1-weighted (T1W) MRI sequences.

5 Jan 2022

Medical AI and radiologist experts may be vulnerable to adversarial attacks

Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks.

14 Dec 2021

AI could help predict the necessity of ICU admission during COVID-19 pandemic

New technology could help doctors make the most of limited resources during the COVID-19 pandemic by identifying patients who require intensive care unit (ICU) treatment.

7 Dec 2021

AI-driven medical imaging may help fight against rectal cancer

Building on its successes in applying artificial intelligence (AI) to medical imaging to enhance treatment of other diseases, a Case Western Reserve University-led team next will test its approach with rectal cancer patients.

4 Dec 2021

New machine learning model reduces uncertainty in detection of breast cancer

Breast cancer is the most common cancer with the highest mortality rate. Swift detection and diagnosis diminish the impact of the disease.

1 Dec 2021

Novel approach uses PSOCT to non-invasively image the depth-resolved collagen organization

Collagen is essential for tissue integrity and stability, and changes in its intrinsic organization are the key features in several important diseases such as scar formation, heart infarction and cancers.

29 Nov 2021

Circulating microbubbles for measuring oxygen levels

Blood carries vital oxygen through our circulation system to muscles and organs. Acoustic tools can create small bubbles in our blood, capable of changing in response to oxygen and signifying oxygen levels.

29 Nov 2021

New method for interpreting brain activity data more accurate than conventional techniques

Skoltech researchers have proposed a method for interpreting brain activity data that proved to be up to five times more accurate than the conventionally used technique in cases when MRI data contained artifacts or only a low-resolution head model was available.

1 Nov 2021

Research could lead to cheaper, easier and more accurate medical imaging

Researchers in the U.S. and Japan have demonstrated the first experimental cross-sectional medical image that doesn't require tomography, a mathematical process used to reconstruct images in CT and PET scans.

30 Oct 2021