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."

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence robotics healthcare

3 healthcare jobs at very low risk of replacement by AI

This past summer McKinsey Global Institute projected almost one-third of workplace activities in the U.S. will be automated by 2030, driving something like 12 million “occupational transitions.”

FDA clears artificial intelligence-based MRI assistant from South Korean developer

Vuno's DeepBrain is intended to automate the manual process of identifying, labeling and quantifying brain structures from MRIs.

artificial intelligence robot evaluates healthcare data

AI detects signs of AFib in asymptomatic patients

The study included ECG data from more than 900,000 U.S. veterans.

FDA highlights radiology's continued dominance in AI-enabled device submissions

Through the end of July, 79% of all AI products authorized by the agency in 2023 are in radiology, followed by 9% in cardiovascular care, and 5% in neurology.

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.

4 ways to usher in ‘smooth scaling’ of generative AI

What does it take to scale the technology from a toe in the water to a full-on swim?

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.

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