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.

Newswatch: AI for Medicare folk, AI uncertainty at the FDA, generative ghosts, more
AI is making patient financial advisors of hospital administrators who used to work in revenue cycle management.
Deep learning reconstruction enables 5-minute MRI scans
New research in the American Journal of Roentgenology details a deep learning super-resolution image reconstruction technique that opens the door for accelerated imaging of the knee.
Feds should take page from EHRs, creating ‘Meaningful Use’ program to spur AI adoption, Rad Partners leaders say
"Using a similar approach of front-loaded, declining incentives, an AI-focused program could help accelerate adoption and implementation," write Richard Heller and Nina Kottler.
The future of AI in nursing is already here yet still on the way
Is AI changing the profession of nursing—or are nurses changing AI?
Newswatch: AI-eager doctors, AI-reticent buyers, AI cost worriers, more
In medicine’s next chapter, AI literacy will separate physician leaders from peer followers.

The key to AI integration? Keeping it straightforward, says GE HealthCare CMO

“To drive adoption, it is important that the technology designed to help productivity doesn’t add more work and complexity,” Dr. Mathias Goyen, Chief Medical Officer for Europe, the Middle East and Africa (EMEA) at GE HealthCare, told Health Imaging.

Walgreens may sell $2B pharmacy automation business

The move comes as Walgreens is shoring up its business amid a period of big transactions in the healthcare space.

New wearable device, no bigger than a stamp, uses AI to deliver on-the-go cardiac imaging

New stamp-sized wearable device uses AI to deliver on-the-go cardiac imaging

The device, designed to be worn for up to 24 hours at a time, uses ultrasound technology and artificial intelligence to track how much blood the user's heart is pumping.

Cardiologists use video-based AI model to ID coronary artery disease

A team of specialists out of Cedars-Sinai developed the deep learning model using TTEs from nearly 3,000 patients.

AI in cardiology: A step-by-step guide to developing high-quality algorithms

Overwhelmed or confused by AI and machine learning technology? A new analysis in European Heart Journal hopes to provide some clarity.

Radiology residents appreciate, benefit by in-house AI training; attendings hungry too but may lack nonclinical time

Radiology residents who completed an intensive, single-day workshop in artificial intelligence came away reporting significantly improved understanding of the technology.

Most radiology residents want more AI training, but few are getting it

The majority of radiology trainees have expressed interest in furthering their knowledge of artificial intelligence applications in the field, yet few are offered the opportunity to do so during the course of their education, according to new survey data.

5 recent developments in thoracic imaging and what they may portend for radiology at large

Recent years have seen the venerable chest X-ray built upon with new technologies, screening programs and educational techniques. As a result, today’s thoracic imaging may be a humble herald of things to come across radiology.

Artificial Intelligence

Newswatch: AI for Medicare folk, AI uncertainty at the FDA, generative ghosts, more

Deep learning reconstruction enables 5-minute MRI scans

Feds should take page from EHRs, creating ‘Meaningful Use’ program to spur AI adoption, Rad Partners leaders say

The future of AI in nursing is already here yet still on the way

Newswatch: AI-eager doctors, AI-reticent buyers, AI cost worriers, more