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.

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.
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.
Even AI struggles to work under stress, study suggests
Apparently, it isn’t just humans who occasionally struggle to work under stress. According to a recent study, the performance of AI flounders, too.

BabyNet AI model predicts fetal birth weight

A Dutch AI model has outperformed most clinicians and other algorithms at measuring fetal birth weight.

October 23, 2023

chatgpt for patient questions about radiology

ChatGPT will take your patient’s questions now—just not solo

What does “clinical correlation” mean in a radiology report? Ask ChatGPT.

October 19, 2023

Allia IGS Pulse, GE Healthcare's updated image-guided system for cardiac imaging, gained FDA clearance

FDA clears GE Healthcare’s new image-guided system for heart patients of all sizes

GE Healthcare's newest cardiac angiography offering will be on display at TCT 2023 in San Francisco.

October 18, 2023

GE HealthCare signs $44M federal contract to develop imaging assistance for mass casualty incidents

Company leaders said the funds will be used to create AI-based guidance systems for a range of ultrasound devices.

October 13, 2023

artificial intelligence robot evaluates healthcare data. Novo Nordisk announced a new collaboration with Valo Health, a healthcare technology company focused on using artificial intelligence (AI) technology to identify new drug treatments for cardiovascular disease (CVD).

Open-source, local large language model can read radiology reports while respecting privacy

An LLM that respects patient privacy proves to be as useful as alternatives when reading chest X-rays.

October 13, 2023

AI brain imaging device receives FDA clearance

Vuno's Med-DeepBrain allows MRI images of the brain to be segmented in 100 pieces to identify signs of dementia.

October 10, 2023

GE HealthCare upgrades ultrasound systems with AI guidance

The Venue product line will receive a step-by-step guidance system designed to help even inexperienced operators capture quality cardiac images.

October 9, 2023

Photos from the study showing eye-tracking and voice dictation.

Eye-tracking study shows radiology reporting via voice commands becoming more viable

When combined with a good microphone, "positive findings only" radiology reporting utilizing voice commands may be most efficient style, according to new research.

October 6, 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.