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. 

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. 

AI healthcare doctor surgery procedure artificial intelligence

Radiology department tests ‘on premise’ AI solution with potential to reduce costs, simplify workflows

Such assistance is increasingly necessary given rising volumes of CCTA scans necessary to assess chest pain—the primary cause of outpatient and ED visits. 

Experts use radiomics features to spot specific tissue patterns related to breast cancer.

Research links tissue patterns on imaging with breast cancer risk

These findings could be beneficial for women with dense breasts, which increase the risk of developing cancer while making it significantly more difficult to detect. 

blood test research laboratory

FDA gives AI-powered blood test for obstructive CAD breakthrough device designation

The FDA clearly sees significant potential in a new multi-protein blood test from Prevencio. The company's goal is to gain full approval and get the test in the hands of emergency departments all over the United States.

FDA artificial intelligence AI aggressive

Healthcare AI newswatch: FDA’s ‘rush’ to the AI altar, AI and Medicare Advantage, OpenAI benchmarks healthcare AI

For some, the FDA is moving too fast in its drive to adopt generative AI agency-wide.