Researchers at Monash University have designed a new co-training AI algorithm for medical imaging that can effectively mimic the process of seeking a second opinion.
AI can use data from low-dose CT scans of the lungs to improve risk prediction for death from lung cancer, cardiovascular disease and other causes, a new study finds.
Photon-counting CT allows for a comprehensive, simultaneous evaluation of lung structure and function, something not possible with standard CT, according to a new study.
Should radiation dose from previous medical imaging be considered when a new scan is made? UK experts issued a joint position statement that favors clinical need over prior exposures.
New research shows how AI can be used to fuse images from clinical X-ray CT and MRI scans to allow a clearer and more clinically useful interpretation of the images.
What will the future structure for artificial intelligence in health imaging across Europe look like? While the algorithms show great promise in collecting, storing, analysing, and using data to advance healthcare, delegates to a session on the topic at ECR 2023 in Vienna, also heard that it was important for the use of AI to move from research and more toward practical applications for patients.…
Assistance from an AI algorithm with high diagnostic accuracy improved radiologist performance in detecting lung cancers on chest X-rays and increased human acceptance of AI suggestions.
Photon-counting CT enables accurate diagnosis of coronary artery disease in high-risk patients, a potentially significant benefit for people previously ineligible for noninvasive screening.
Iodinated contrast media (ICM) enhance CT imaging, but its single-dose packaging is increasingly proving at odds with modern, more sustainable imaging practices. New award-winning research by a radiology resident and faculty members at Vanderbilt University Medical Center in Nashville, Tennessee, proposes a promising alternative: A switch from using single-dose injectable contrast media kits to…
US researchers evaluated AI techniques for cleaning medical images based on performance in clinical tasks. Some algorithms make the scans look better, but actually decrease image quality.
Against a backdrop of changing technology and reduced patient dose, a new momentum is emerging within radiology to eradicate patient shielding. The subject has been extensively debated and researched in recent years but there is now a growing consensus to end the practice, apart from with a few exceptions. The topic was the focus of a session at ECR 2023 in Vienna where different perspectives…
A new study suggests that deep learning–based computer-aided diagnosis (CAD) for breast lesion classification on ultrasound can significantly improve radiologists' diagnostic performance.
A new advanced form of CT imaging offers better cardiovascular imaging quality compared to dual-source CT (DSCT) in infants with suspected cardiac heart defects, according to a new study.
The latest version of ChatGPT passed a radiology board-style exam, highlighting the potential of large language models (LLM) but also revealing limitations that hinder reliability, new research shows.
AI can analyze breast mass images from low-cost portable ultrasound machines and accurately identify cancer, according to a new study. This could prove useful for triage in low-resource settings.
Should patients over the age of 70 with head and neck cancer receive aggressive combined radiotherapy and chemotherapy? This is a controversial issue among patients, their families and health professionals.
When is a CT scan justified, i.e. when do the benefits of a CT scan for the patient outweigh possible risks associated with radiation? Justification has been a major issue among radiologists ever since CT has become widely available and widely used. With regard to dose the answer is the well-known ALARA principle: “As low as reasonable achievable“. Now, the European coordinated action on…
Dunlee unveiled its new oncology bundles onsite at ECR. The bundles combine components that have been tested and verified to work together so clinicians can offer state-of-the-art onboard Cone Beam CT (CBCT) in facilities.
It’s clear that radiology is lacking in the “green” department: healthcare still causes a large share of global greenhouse gas (GHG) emissions, not least due to diagnostic imaging. Dr Sarah Sheard from Imperial College Healthcare, UK, invited her ECR audience to take a closer look at radiology’s climate footprint – and revealed ways to make the field more sustainable.
A new paper describes how generative AI text-to-image models such as DALL-E 2 could represent a promising future tool for image generation, augmentation, and manipulation in health care.
In a study of over a million women, digital breast tomosynthesis (DBT) showed improved breast cancer screening outcomes over screening with standard digital mammography alone.
At ECR in Vienna, Carestream presented the latest additions to their product portfolio, and gave insights into their commitment to tackling a devastating lung disease.
Radiology practitioners have highlighted the benefits of cone beam CT in delivering high resolution at a low dose. Delegates at ECR 2023 in Vienna heard how cone beam CT (CBCT) could replace multidetector CT (MDCT) in some areas and is already showing cost-effectiveness benefits.
An advanced imaging method is showing promise as a way to improve the diagnosis of prostate cancer by giving clinicians a clearer view of suspected tumours during biopsy.
The future of medical imaging will be shaped by AI, according to an expert panel hosted by Bayer at ECR in Vienna. Participants explored key trends in radiology and how AI innovation can help patients and their treating physicians.