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.

FDA sees promise in voice-based AI model for heart failure
An advanced algorithm that looks for signs of heart failure in five-second voice recordings has received the FDA's breakthrough device designation.
More than 80% of clinicians have had to correct AI-supplied misinformation during patient visits: New patient + provider survey
Meanwhile members of Gen Z are twice as likely as other generations to get sneaky about their use of medical AI.
Both radiologists and AI struggle to identify 'deepfake' X-rays
Experts are cautioning that these falsified images could have serious implications for radiologists in the future.
6 things Medicaid stakeholders can remind the world to always do with healthcare AI
U.S. healthcare will know it’s gotten AI right when the technology demonstrably improves care access, attentiveness and outcomes for the least financially healthy among us.
AI is a game-changer for cardiology—it’s time for practices to get on board
The use of AI technologies in healthcare has evolved at a breathtaking rate in the last few years. Hype and hypotheticals have been replaced with real, practical tools that help physicians focus on providing high-quality care.

FDA sees promise in voice-based AI model for heart failure

An advanced algorithm that looks for signs of heart failure in five-second voice recordings has received the FDA's breakthrough device designation.

More than 80% of clinicians have had to correct AI-supplied misinformation during patient visits: New patient + provider survey

Meanwhile members of Gen Z are twice as likely as other generations to get sneaky about their use of medical AI.

Deepfake X-rays trick radiologists and AI

Both radiologists and AI struggle to identify 'deepfake' X-rays

Experts are cautioning that these falsified images could have serious implications for radiologists in the future.

6 things Medicaid stakeholders can remind the world to always do with healthcare AI

U.S. healthcare will know it’s gotten AI right when the technology demonstrably improves care access, attentiveness and outcomes for the least financially healthy among us.

artificial intelligence AI predictive analytics

AI is a game-changer for cardiology—it’s time for practices to get on board

Sponsored by NextGen

The use of AI technologies in healthcare has evolved at a breathtaking rate in the last few years. Hype and hypotheticals have been replaced with real, practical tools that help physicians focus on providing high-quality care.

artificial intelligence AI explainable ethical responsible

4 must-haves for health execs deploying ambient AI scribes at scale

Successfully adopting the technology across wide and varying care settings depends on a whole lot more than just technical sophistication.

Autonomous AI reduces radiologists' breast cancer screening workload in real-world setting

Deployed in screening mammography, the tool identifies normal, low-risk exams and eliminates the need for double reads.

Example of an automated artificial intelligence (AI) assessment of soft coronary plaque from a CT scan from the vendor Cleerly. This image shows the AI's reconstruction of a patient's coronary tree and color codes the vessel segments by the amount of overall plaque burden. The AI gives a very detailed report of all the plaque in all the coronary vessels. Some cardiology experts believe this may be the way of the future in screening patients for early coronary disease and monitoring the impact of prevention

AI-powered CCTA assessments show ‘close agreement’ with IVUS

Advanced AI software developed by Cleerly consistently produced plaque assessments comparable to intravascular ultrasound.