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. 

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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 ACR

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."

artificial intelligence

‘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. 

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Radiology AI firm Gleamer expands into MRI with 2 acquisitions

The French company offers solutions across X-ray, mammography and CT, adding MRI to its portfolio by buying Pixyl and Caerus Medical. 

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Generative AI increases efficiency, quality of radiology reports

Experts note that multimodal GenAI presents a “transformative opportunity” to increase the efficiency and accuracy of radiologist reporting. 

Nicholas Galante

AI is revolutionizing radiology workflow and patient care

Sponsored by Viz.ai

In the rapidly evolving healthcare landscape, artificial intelligence (AI) is making significant strides in improving radiology workflow and patient care coordination. Nicholas Galante, MD, medical director of informatics at Radiology Associates of North Texas, recently discussed how technology from Viz.ai is transforming his radiology practice, enhancing efficiency, and ultimately benefiting patient outcomes. 

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.

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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.