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.

Patient advocacy groups urge Congress to create pathway for CMS to cover AI in radiology
As of Monday, the FDA has OK'd nearly 900 AI-enabled medical devices, but CMS has only assigned payment for about 10 of them.
Radiologist-founded startup Rad AI raises $50M in Series B financing
The company, which offers software to help physicians save time and alleviate burnout, will use the funds to expand global availability of its generative AI solutions.
Lack of reimbursement hindering AI adoption, American College of Radiology warns Congress
Determining how to reimburse for healthcare artificial intelligence is likely to be a “complex policy challenge,” CEO William T. Thorwarth Jr., MD, wrote May 6.
What the Biden administration’s artificial intelligence executive order means for radiology
“Radiologists themselves can and should play a key role in policy creation at every level," members of the specialty wrote in JACR.
Humana expands use of automated prior authorization software into diagnostic imaging
The Louisville, Kentucky-based payer first partnered with vendor Cohere Health in 2021 to launch a pilot program in 12 states.

Why radiologists won’t be replaced by deep learning

As researchers continue to make significant advances with artificial intelligence (AI) and deep learning, has the time come for radiologists to be concerned about their jobs?

April 22, 2019

GE Healthcare’s deep learning-based image reconstruction engine gains FDA clearance

GE Healthcare’s Deep Learning Image Reconstruction (DLIR) engine, designed to be used with its Revolution Apex CT solution, has gained FDA clearance.

April 22, 2019

Second research roadmap focused on AI in radiology coming soon

A detailed roadmap outlining research priorities for artificial intelligence (AI) in radiology was published April 16 in Radiology, and the organizations involved have announced that a second report is due later this year.

April 18, 2019

Specialists share research roadmap for using AI in radiology

Representatives from numerous healthcare organizations gathered in 2018 and developed a new document focused on helping researchers use AI algorithms in radiology to improve patient care.

April 16, 2019

GE Healthcare’s AI platform to integrate with ACR AI-LAB

The American College of Radiology (ACR) Data Science Institute (DSI) just launched its ACR AI-LAB software platform and has already secured a key collaborator: GE Healthcare.

April 9, 2019

A survey conducted by the Ann and Robert H. Lurie Children's Hospital of Chicago found more than 75% of parents are generally receptive to the use of artificial intelligence (AI) tools in the management of children with respiratory illnesses in the emergency department (ED). However, some demographic subgroups, including non-Hispanic black and younger age parents, had greater reservations about the use of these technologies.

How machine learning will fundamentally change the lives of healthcare providers

Artificial intelligence and machine learning technologies could fundamentally change healthcare forever, both for providers and their patients. A new analysis published in the New England Journal of Medicine examined that potential shift in great detail.

April 9, 2019

New ACR software platform allows radiologists to create, validate, use AI

The American College of Radiology (ACR) Data Science Institute (DSI) has launched ACR AI-LAB, a new software platform that helps radiologists create, validate and use artificial intelligence to treat patients.

April 8, 2019

FDA developing framework for AI-based medical devices that ‘learn’ in real time

The FDA has announced that it is working toward developing a new regulatory framework for medical devices that use advanced artificial intelligence (AI) algorithms.

April 3, 2019

Around the web

Cardiovascular Business

Medicare drops AUC requirement for advanced imaging, ASNC celebrates

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

Cardiovascular Business

Cardiology, radiology groups urge insurance provider to rethink imaging policy

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound.

Cardiovascular Business

Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

Artificial Intelligence

Patient advocacy groups urge Congress to create pathway for CMS to cover AI in radiology

Radiologist-founded startup Rad AI raises $50M in Series B financing

Lack of reimbursement hindering AI adoption, American College of Radiology warns Congress

What the Biden administration’s artificial intelligence executive order means for radiology

Humana expands use of automated prior authorization software into diagnostic imaging

Around the web