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.

Seno Medical Imagio breast imaging system.

AMA adds code to allow for reimbursement of opto-acoustic imaging modality

The new imaging modality was pioneered by Seno Medical for diagnosing breast cancer.

February 13, 2024

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).

FDA clears advanced AI model for detecting, quantifying bleeding strokes

The new algorithm from Viz.ai is capable of identifying, labeling and quantifying brain bleeds in noncontrast CT images.

February 9, 2024

Marielle Scherrer-Crosbie, MD, Hospital of the University of Pennsylvania, discusses the latest trends in cardiac strain echo.

Interest in strain echo imaging is rising, but hurdles remain

Marielle Scherrer-Crosbie, MD, told Cardiovascular Business that the current lack of reimbursement for strain echocardiography has been a challenge for care teams.

February 9, 2024

Kyle Souligne, director, enterprise imaging radiology, Agfa Healthcare, discusses technologies like workflow orchestration, AI and cloud that can be used to optimize radiologist’s processes and create efficiency, so they work smarter, not harder. These technologies are playing an increasing role to address the shortage of radiologists.

Optimizing reading efficiency to address radiologist shortages

Agfa Healthcare's Kyle Souligne discusses technologies that can optimize physicians' efficiency to help practices do more with less.

February 5, 2024

FDA awards breakthrough designation to AI-powered tuberculosis diagnostic tool

A rising number of patients in the U.S. are diagnosed with TB, and AI is being deployed to turn the tide.

February 5, 2024

Harvard professor accused of doctoring images used in decades of research

A total of 28 studies have been flagged as potentially fraudulent, with some published as early as 2001.

February 2, 2024

AI spots missed findings on chest X-rays, aiding nonradiologists in emergency setting

Emergency units often lack 24/7 coverage by radiologists, presenting an opportunity for AI to aid in diagnostics.

February 1, 2024

$Hip strain injury fracture broken hip$

AI model predicts hip fractures in a short-term timeframe

Current risk assessments are unable to calculate the likelihood of a near-future fracture after a patient breaks their hip.

January 31, 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.