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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Employee retention staffing hiring

Navigating the radiology workforce shortage: 6 potential solutions

Radiologist Anna Rozenshtein, MD, and colleagues conducted a literature review for their opinion piece, published in the American Journal of Roentgenology. 

PHOTO GALLERY: Medical imaging technology at RSNA 2024

Take a virtual tour around the Radiological Society of North America (RSNA) meeting to see the sights and new technologies displayed across the vast exhibit hall floors.

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Can large language models break language barriers in radiology reports?

With the growing demand for virtual care and an increasingly mobile population, the need to improve communication with non-English-speaking patients is immense. 

AI in healthcare

Most patients want to know if AI is involved in their care

“With this signal about the public’s preference for notification, the question for health systems and policymakers is not whether to notify patients but when and how.” 

Kate Hanneman, MD, chair of the Radiological Society of North America (RSNA) program planning committee, explains some of the key trends she saw in sessions during RSNA 2024. #RSNA #RSNA24 #RSNA2024

RSNA 2024 Program Chair Kate Hanneman highlights key trends in radiology

The cardiac radiologist and associate professor at the University of Toronto offered insights into key themes from the conference. 

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Do large language models help or hinder workflows related to radiology reports?

Some have suggested LLMs could reword reports to improve patient comprehension, but whether this is a feasible option remains unknown. 

CHLA adds virtual technologist role

Hospital creates 'virtual reality technologist' role to support patients during interventional procedures

The technologist guides patients through procedure-specific VR games designed to ease anxiety and discomfort during their treatment.

RSNA attendees through bore of the new release Philips CT 5300 scanner at RSNA 2024. Three new CT systems were released at RSNA that included numerous AI enhancements. Photo by Dave Fornell. #RSNA #RSNA24 #RSNA2024

Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

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