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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Ischemic stroke shown in CT scans. Image courtesy of RSNA

New algorithm is twice as accurate at predicting stroke timing compared to the standard of care

Determining stroke onset is critical for management, as there is a small window of time for initiating treatment that can inhibit damage.

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. 

How AI 'cheating' could impact algorithm reliability

A new study on the implications of AI shortcutting has experts raising concerns about the integration of the technology into medicine.

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New AI program delivers rapid, accurate echo video assessments

The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

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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.

Radiomics model links brain MRI features with neuropsychological changes in Crohn's disease

Researchers hope their findings can help pave the way for more targeted therapies for individuals with Crohn's disease.

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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Bracco updates HeartSee coronary flow capacity software with new diagnostic features

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Key trends in diagnostic heart testing: CT on the rise as some traditional techniques fall out of favor

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