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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ChatGPT to be utilized in new medical imaging app for patients

AI chatbot ChatGPT is making its official debut in medical imaging by way of a new app that can be utilized by anyone with a smartphone. 

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'Fictitious references' and 'significant inaccuracies' could hinder ChatGPT's medical writing career

Despite being widely praised by many of its users, ChatGPT recently left much to be desired by experts who compared the chatbot’s medical writing alongside that of seasoned professionals.

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AI model identifies radiologist-recommended follow-up imaging in reports, has potential for widespread use

New data published in the American Journal of Roentgenology details the performance of a deep learning model known as BERT, short for Bidirectional Encoder Representations from Transformers.

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Industry first: FDA clears device for detecting stroke on noncontrast CT

RapidAI said it aims to give smaller facilities access to tools often only available at comprehensive stroke centers. 

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10-year imaging study examines long-term side effects of smoking cigarettes

The findings support the notion that it is never too late to quit smoking, as the benefits of doing so are clear, experts involved in the study suggested.

Example of data generated by an automated artificial intelligence (AI) brain CT assessment tool from Annalise.ai at RSNA 2022. What does brain imaging look like?

AI company racks up 7 new FDA clearances for image triage and notification solutions

The Australia-based company made the announcement on April 12 in a release that described the timing of these AI-assisted solutions as “increasingly important” amid growing workloads and staffing shortages. 

Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA

Experts developed a deep learning model that can estimate breast density

When tested, the model achieved a performance comparable to that of human experts.

The European Society of radiology European Congress of Radiology (ECR) 2023 meeting. Image courtesy of ECR

Key trends in radiology at the European Congress of Radiology 2023 meeting

Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.

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