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. 

FDA Commissioner Robert Califf, MD, explains the U.S. is spending the most on healthcare of any country, but has poorer outcomes than other western nations. He said healthcare reform is needed to change that course. #Healthdisparities #healthequity

FDA commissioner urges health systems to strengthen AI quality oversight

FDA Commissioner Robert Califf, MD, explains the need for hospitals to perform quality assurance checks on clinical artificial intelligence to ensure these technologies don't "drift" from what was originally cleared by the FDA.
 

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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. 

HeartFlow Plaque Analysis Example

Cardiologists to highlight the many benefits of AI-powered CCTA evaluations

Two renowned cardiologists are teaming up to explore the short- and long-term impact of using advanced AI platforms to evaluate coronary CCTA results for signs of coronary artery disease. 

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.

artificial intelligence AI healthcare

Industry Watcher’s Digest

IT departments are budgeting more for AI in 2025 than for any other single area of investment. 

artificial intelligence AI in healthcare

Stanford HAI lookback: Best-read blog posts of 2024

The year 2023 saw a shift toward open-source AI models, surging investments in generative AI and increasing AI regulation.

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.