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.

7 pointers for AI-driven quality control in medicine
By automating repetitive tasks and ensuring consistent “QC,” well-deployed AI not only unburdens healthcare professionals but also sets new standards for efficiency and reliability in medical practice.
AI-powered risk model evaluates long-term risk of coronary artery disease
The advanced machine learning model tracks more than 50 different factors to make its predictions. It has already been found to be more accurate than popular prediction methods for heart disease that are currently available.
Enforcement of rule regulating discrimination in AI use will start May 1, ACR warns
However, it’s still uncertain whether the Trump administration will follow through with the new HHS policy update.
Only 4% of women comfortable with AI serving as sole reader of mammograms
“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care," one expert contends.
Most patients trust AI to interpret their imaging, but certain demographic factors shape these opinions
“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care."

American College of Radiology initiative seeks to improve transparency among AI vendors

The ACR Data Science Institute’s “AI Central” allows physicians to select algorithms that have been vetted for performance.

South Korea-based Imaging AI vendor Lunit raises $150M in new capital

Traded on the Kosdaq stock exchange, the company held a public offering earlier this month, which garnered an “enthusiastic response” from investors.

FDA clears AI-powered brain MRI software from French firm Pixyl

The product aims to reduce radiologists’ read times while bolstering the detection of certain neurological disorders.

Arineta Cardio Imaging cardiovascular CT scanners AI

FDA clears AI-powered image reconstruction technology for cardiac CT scanners

The new technology, trained using more than 3 billion data points, was designed to reduce image noise and improve the overall quality of CT scans.

Philips inks 8-year partnership worth up to $115M with NYU Langone Health

As part of the deal, the top-ranked academic medical center will adopt Philips’ AI-powered imaging technologies, including handheld US.

artificial intelligence AI heart cardiology

ChatGPT struggles with echocardiography, but still shows potential to help cardiology trainees

ChatGPT may not be quite ready to help prepare trainees for their next echocardiography exam—but it does show promise.

Survey highlights portable ultrasound adoption trends, challenges

A poll of 150 physicians from vendor Exo reveals that despite the benefits of POCUS systems, adoption remains limited.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Artificial Intelligence

7 pointers for AI-driven quality control in medicine

AI-powered risk model evaluates long-term risk of coronary artery disease

Enforcement of rule regulating discrimination in AI use will start May 1, ACR warns

Only 4% of women comfortable with AI serving as sole reader of mammograms

Most patients trust AI to interpret their imaging, but certain demographic factors shape these opinions