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.

New research offers reminder of why ChatGPT should not be used for second opinions
Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports.
GPT-4 confidently struggles on radiology exam
Image-based questions were significantly more challenging for the large language model to answer, despite the latest version now being capable of accepting image prompts.
AI improves CT assessments, boosts care for real-world heart patients
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Natural language processing spots reporting gaps, racial bias
Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities.
ChatGPT shows 'significant promise' in guiding contrast-related decisions
This could be especially helpful when timely clinical decisions relative to the use of a contrast agent need to be made.

Entry way to the RSNA artificial intelligence showcase. Photo by Dave Fornell. #RSNA #RSNA23 #RSNA2023 orthopedic imaging

RSNA unveils the 10 most cited Radiology studies of 2023

ChatGPT was a popular topic among readers of the Radiological Society of North America's flagship scientific journal.

December 13, 2023

Video of Dhruv Mehta explaining the two new Canon AI-enabled CT systems launched at the 2023 RSNA. #CanonMedical #RSNA #RSNA23 #RSNA2023

Canon launches two new AI-based CT systems

The company unveiled its latest computed tomography systems at RSNA 2023, aiming to address staffing shortages and improve image quality.

December 12, 2023

AI system able to identify standard plane, segment tissue in ultrasounds of shoulder

The combined-AI system used for this research “demonstrated superior performance compared with similar studies for both functions,” researchers noted.

December 7, 2023

Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.

December 6, 2023

Kit Crancer RBMA president on Medicare cuts RSNA 2023.

The impact of Medicare payment cuts on radiology and patient care access

RBMA President Kit Crancer said continued cuts will result in Medicare patients losing access to care when health systems and providers determine it is no longer economical.

December 5, 2023

Example of cardiac CT and how spectral imaging assessment of the scan and show areas myocarditis as part of a demo in the Philips booth at RSNA 2023. Cardiac CT took center stage in all of the large CT vendors this year at RSNA and four new CT scanners where introduced, all of which were being promoted for their cardiac imaging capabilities. Photo by Dave Fornell #RSNA #YesCCT #RSNA23 #RSNA2023

Cardiac CT's continued rise on display at RSNA 2023

CCTA has seen rapid adoption and growth over the past two years, and RSNA vendors fed that trend with new product launches.

December 5, 2023

Large crowd in the recruiters row on the RSNA expo floor. There was a record number of recruiters at RSNA this year as the radiologist shortage begins to hurt many healthcare systems. The shortage was also brought up in nearly all discussions Radiology Business has at RSNAS 2023. #RSNA #RSNA23 #RSNA2023

4 key trends in radiology at RSNA 2023

The rapidly growing shortage of radiologists and technologists was by far the biggest concern discussed across the Radiological Society of North America meeting.

December 1, 2023

GE HealthCare debuts AI suite for early breast cancer detection

MyBreastAI integrates three AI applications designed to read mammograms and measure breast density.

December 1, 2023

Around the web

Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.