Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks.

AI accurately routes interventional radiology procedure requests at pennies apiece
Duke University scientists are testing LLMs' ability to aid in this task—with the models able to recognize requests and generate responses.
Siemens Healthineers inks $560M imaging and AI deal with Canadian government
Providers in Canada's fourth most-populous province are seeking help in diagnosing cancer cases earlier while reducing long wait times.
Radiology artificial intelligence firm Brainomix raises $18M, expands in US
The company specializes in software focused on stroke and lung fibrosis, with its solutions deployed at over 300 hospitals and impacting 1.5 million patients.
Opportunistic screening: AI highlights key heart findings in mammography images
Breast artery calcifications are already visible when radiologists review mammograms, but nothing typically happens with them. Researchers aimed to see if AI could help translate those findings into an easy-to-understand cardiovascular risk score.
Using robotics to automate X-ray, ultrasound workflows the goal of new GE HealthCare-Nvidia partnership
They announced the collaboration on Tuesday, hoping to simplify “complex workflows” such as patient placement, image scanning, and quality checks.

ChatGPT large language models radiology health care

AI accurately routes interventional radiology procedure requests at pennies apiece

Duke University scientists are testing LLMs' ability to aid in this task—with the models able to recognize requests and generate responses.

Arthur J.E. Child Comprehensive Cancer Centre in Calgary, Alberta, Canada.

Siemens Healthineers inks $560M imaging and AI deal with Canadian government

Providers in Canada's fourth most-populous province are seeking help in diagnosing cancer cases earlier while reducing long wait times.

Radiology artificial intelligence firm Brainomix raises $18M, expands in US

The company specializes in software focused on stroke and lung fibrosis, with its solutions deployed at over 300 hospitals and impacting 1.5 million patients.

Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

Opportunistic screening: AI highlights key heart findings in mammography images

Breast artery calcifications are already visible when radiologists review mammograms, but nothing typically happens with them. Researchers aimed to see if AI could help translate those findings into an easy-to-understand cardiovascular risk score.

GE HEalthcare Nvidia robotics AI ultrasound imaging X-ray

Using robotics to automate X-ray, ultrasound workflows the goal of new GE HealthCare-Nvidia partnership

They announced the collaboration on Tuesday, hoping to simplify “complex workflows” such as patient placement, image scanning, and quality checks.

American College of Radiology to launch AI accreditation program

As the use of AI in imaging continues to grow, it’s “become clear" that real world performance of these products can defer from premarket testing, experts note.

Manisha Bahl, MD, breast imaging division quality director and breast imaging division co-service chief, Massachusetts General Hospital, and an associate professor of radiology, Harvard Medical School, explains the findings of a recent study she was involved in at RSNA 2024. She also offers insights into growing interest at sessions in using AI in breast imaging.

What radiologists think about using ChatGPT and AI in breast imaging

Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

‘Insufficient governance of AI’ is the No. 2 patient safety threat in 2025

ECRI compiled its latest list of healthcare hazards based on a wide scope of data, hoping to pintpoint the most pressing threats to patients' well-being.

Around the web

Health Imaging

American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

Health Imaging

AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

Health Imaging

Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.