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. 

artificial intelligence AI in healthcare

View from the C-suite: AI, automation key to getting, staying ahead of RCM issues

Healthcare executives have big plans for technology in their revenue cycle management operations. 

Thumbnail

Many radiologists still unfamiliar with opportunistic screening applications

Although AI implementation in clinical practice has taken flight in recent years, opportunistic screening utilization has been less common.

Thumbnail

FDA updates list of cleared VR, augmented reality devices, with radiology leading the way

The administration has now authorized a total of 69 medical products that incorporate AR/VR since 2015, including 28 in radiology. 

ai in healthcare

Industry Watcher’s Digest

The U.S. Commerce Department wants proof of strong safety and security measures from AI developers and cloud suppliers. 

Generative AI LLM SLM

AI technical trends to watch for (and not just in healthcare)

Many gen AI end users are finding that large language models (LLMs) defy easy infrastructure setup and affordable management costs. One budding option may be to go with small language models (SMLs) instead. 

artificial intelligence robot evaluates healthcare data

Healthcare AI company launches radiology-specific vision language model

Harrison.rad.1 can conduct chats related to imaging, identify and localize X-ray findings, generate reports and provide its reasoning based on patient history and clinical context.

artificial intelligence in cardiology

Industry Watcher’s Digest

If there’s an economic sector whose workforce is largely AI-proof, healthcare is it. 

healthcare AI return on investment ROI

Number-cruncher quantifies return on investment in healthcare AI

Just by taking notes during patient visits, generative AI could save a five-physician primary care practice $291,200 in one year. The practice would see a return on its AI investment of 94.13% and reach the breakeven point in a bit more than six months.