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. 

GE Healthcare's CleaRecon DL reduces IR image artifacts during procedures

Newly launched algorithm reduces image artifacts in real-time during IR procedures

Clinical validation testing proved CleaRecon DL’s 3D image reconstructions to be effective at reducing unwanted artifacts, offering clearer images in 98% of cases.

robot reviewing heart data

AI delivers real-time blood clot monitoring, helping cardiologists make treatment decisions

Researchers have used a state-of-the-art microscope and advanced AI to track clotting risks in CAD patients. The goal is to spot blood clots before they even happen, ensuring patients are prescribed the right therapy for their specific needs. 

healthcare technology AI unicorns

5 things to know about AI-toting healthcare ‘unicorns’

Why do investors equate these companies with beautiful, mythical beasts? Because startups with such dazzling attributes are—or long were—rarely seen.

Technophile Trump

Newswatch: Trump’s AI extraversion, FDA’s first CAIO, healthcare AI’s true value, more

Where a cautious President Biden wanted to confine American AI know-how to America, a freewheeling President Trump wants to turn it loose—at least to select friends and allies.

RadNet CEO Howard Berger

RadNet confident payers will cover its breast imaging AI solution by 2026

Leaders with the publicly traded, Los Angeles-based organization discussed the possibility during RadNet’s first quarter earnings call on Monday. 

Man vs. Machine artificial intelligence AI

NY Times revisits Nobel Prize winner’s prediction AI will render radiologists obsolete

In 2016, Geoffrey Hinton famously said, “People should stop training radiologists now,” believing it was “completely obvious” AI would outperform human rads within five years. 

Chat GPT

Radiologists warn of cybersecurity risks stemming from large language model use

Members of the specialty shared their advice in a special report published by the Radiological Society of North America's journal Radiology: Artificial Intelligence. 

AI healthcare doctor surgery procedure artificial intelligence

First-of-its-kind framework monitors real-time performance of radiology AI tools

The program provides detailed assessments of how algorithms implemented into workflows are impacting efficiency and outcomes.