Reports of AI gaining the upper hand in diagnostic imaging interpretation are piling up, but there are still areas where the eye of a trained human radiologist remains superior.
Radiologists called for action to reduce the release of contrast media in the hospital’s wastewater after contrast-enhanced examinations in a dedicated session at ECR 2023.
Mammographic screening is used to detect breast cancer, but is prone to false findings. Could an AI reader help improve this? UK researchers compared the performance of man and machine.
Osaka Metropolitan University scientists have developed an advanced AI model that utilizes chest radiographs to accurately estimate a patient’s "true" age.
A machine learning model found that background parenchymal enhancement (BPE) on breast MRI is an indicator of breast cancer risk in women with extremely dense breasts.
Identifying victims of major disasters remains a significant challenge for investigators. Often, identification can take weeks or longer but new approaches are paving the way for greater accuracy and quicker identification whilst preserving the body without unnecessary invasive investigation. An expert session at ECR heard about how new imaging technology can help with disaster victim…
With the recent recommendation changes from the European Council in 2022, how radiologists screen for breast cancer is changing. Mammography has long been an essential technology in screening for breast cancer, and in the recommendations the Council formally recognized the advantages of digital breast tomosynthesis (DBT). This landmark acknowledges the research on and benefits of DBT, advocating…
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.