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.

Jeremy Slivnick, MD, presents at the American Society of Echocardiography (ASE) 2023 meeting on how artificial intelligence (AI) can help make echocardiography better able to detect subtle signs of early cardiac amyloid disease when it is easier to treat with better outcomes. ssistant professor of medicine and an advanced cardiac imager at the University of Chicago.

AI models for cardiac amyloidosis could make a world of difference

Jeremy Slivnick, MD, spoke with Cardiovascular Business about AI's potential to transform how cardiac amyloidosis is diagnosed and treated.

January 30, 2024

Collaboration brings triage AI to chest X-rays for prompt emergency care

The three year collaboration implements Lunit AI into Samsung X-ray devices.

January 29, 2024

AI-enhanced music used to ease anxiety during an MRI

HealthTunes is a nonprofit that produces artificial intelligence-powered music to create a soothing effect.

January 26, 2024

Amy Thompson, Signify Research, explains key observations in the teleradiology market at RSNA 2023, including the in creasing use of cloud and AI.

Cloud and AI are key to teleradiology success in post-COVID resurgence, expert says

Increasing use of cloud and AI are among the trends observed by Amy Thompson, research manager for healthcare IT at the healthcare market analysis firm Signify Research, at RSNA 2023.

January 24, 2024

FDA clears AI for breaking down lung CT images into subsegments

LungQ guides pulmonologists as they work to access peripheral locations within the lungs.

January 22, 2024

Video of Samir Patel, MD, diagnostic radiologist at Radiology Inc., value management program founder and director and a board member of the Beacon Health System, explaining how AI is being implemented in mammography at RSNA 2023.

Real-world implementation of AI in mammography

Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging.

January 19, 2024

Digital biomarker tool for rapidly identifying lung fibrosis cleared by FDA

The AI-guided technology can diagnose the disease via medical images without the need for an invasive procedure.

January 17, 2024

chatgpt for patient questions about radiology

ChatGPT IDs incidental findings on CT images

New research suggests ChatGPT may be able to improve radiology workflows by performing an initial review of CT images.

January 15, 2024

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.