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.

ChatGPT large language models radiology health care

GPT-4 spots radiology report errors in less time, at a lower cost

The large language model can identify report errors seven times more quickly than human readers, new study reveals.

April 16, 2024

AI able to assess invasiveness of lung lesions to aid in surgery

In a study, the most accurate model combined deep-learning with a radionomics approach.

April 11, 2024

First-in-human trial shows potential of guiding CABG with cardiac CT and AI—no ICA required

An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFR_CT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data.

April 10, 2024

Northwestern Medicine is collaborating with Dell to develop AI for reading X-rays

The new artificial intelligence model is currently reading draft radiographs at the Illinois health system.

April 8, 2024

POCUS hand-held ultrasound using the GE Vscan Extend. GE RSNA PR image

GE HealthCare adds AI guidance to handheld ultrasound devices

Caption AI is designed to make cardiac imaging more accessible by offering step-by-step guidance on probe movements and ensuring image quality through a built-in meter.

April 3, 2024

AI identifies signs of COVID-19 in lung ultrasound images

The deep neural network was trained using over 40,000 patient ultrasound images and computer-generated facsimiles made from real scans.

April 2, 2024

artificial intelligence AI heart cardiology

FDA assisting with new imaging 'marketplace' designed to improve AI

The Advanced Research Projects Agency for Health has launched a survey for stakeholders to provide input on the project’s development.

April 1, 2024

Avicenna.AI, a French artificial intelligence (AI) startup co-founded by a radiologist, has received U.S. Food and Drug Administration (FDA) clearance for two new offerings designed to automatically identify cardiovascular findings in CT scans, CINA-iPE and CINA-ASPECTS.

Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

March 26, 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.