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 model gets helpful heart assessments out of nongated CT scans
"Using AI for tasks like CAC detection can help shift medicine from a reactive approach to the proactive prevention of disease," one researcher said.
Led by notable names in radiology, imaging AI firm HOPPR raises nearly $32M
Founded in 2019 and based in Chicago, the vendor offers a “leading” infrastructure platform for building, refining and deploying large-scale AI models in medical imaging.
Healthcare AI today: Dangerous LLMs, self-training AI—and is AI good for what ails healthcare?
If an individual is at all susceptible to mental unwellness, overuse of a talkative LLM could push him or her over the edge. Maybe literally.
Could the metaverse be the new radiology education classroom?
According to new data, the simulated virtual environment may be just as effective of a setting as the classroom for problem-based learning.
ChatGPT's medical advice may be deterring women from necessary imaging
The LLM’s responses may be misleading in certain situations, which could pose problems for patients who trust the medical advice it provides.

Addressing 'model drift' to recover AI performance before it leads to report errors

“Although regularly assessing and updating these models is necessary to ensure accurate performance, there is no standard approach to addressing model drift.”

Example of an artificial intelligence (AI) app store on the Sectra website, where Sectra PACS users can select the AI algorithms they want that are already integrated into the Sectra System. Other vendors have followed a similar approach to AI developed by many smaller vendors they partner with.

VIDEO: Development of AI app stores to enable easier access

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains how radiology vendors have developed AI app stores to make it easier to access new FDA cleared AI algorithms.

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains artificial intelligence (AI) for radiology. Dreyer also holds the positions of vice chairman of radiology at Massachusetts General Hospital, chief data science and information officer for the departments of radiology for both Massachusetts General Hospital and Brigham and Women's Hospital.

VIDEO: Where will radiology AI be in 5 years?

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains 5 developments to watch for in radiology artificial intelligence (AI).

How do radiologists really feel about adopting AI? New data offer insight

Up to 60% of radiologists have intentions of adopting artificial intelligence tools into clinical practice in the near future.

Notable names in the news: From Butterfly to ViewRay and a few in between

Radiology business developments that broke softly this week but may soon make waves ...

FDA greenlights ortho robot, automated MRI brain modeling

FDA approvals arrive for ClearPoint Neuro and MicroPort Navibot.

Educational platform releases AI course geared toward radiology administrators, technologists

The beginner course includes information on AI terminology, information technology principles, medical and legal considerations that accompany AI implementation and HIPAA compliance pertaining to the technology’s use in clinical settings.

AI's impact on cardiology continues to grow, leading to $1.6B in business deals in 2021 alone

A new report by data analysts highlights a trend many in cardiology have already noticed: the continued prominence of AI-powered solutions designed to diagnose and treat CVD.

Artificial Intelligence

AI model gets helpful heart assessments out of nongated CT scans

Led by notable names in radiology, imaging AI firm HOPPR raises nearly $32M

Healthcare AI today: Dangerous LLMs, self-training AI—and is AI good for what ails healthcare?

Could the metaverse be the new radiology education classroom?

ChatGPT's medical advice may be deterring women from necessary imaging