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.

AI model for ankle stress radiography could reduce radiologists’ workload by average of 70%
Interpreting such exams can be a “subjective and time-consuming task,” researchers detailed in Academic Radiology.
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.

GE and NVIDIA Join Forces to Accelerate Artificial Intelligence Adoption in Healthcare

GE Healthcare and NVIDIA today announced they will deepen their 10-year partnership to bring the most sophisticated artificial intelligence (AI) to GE Healthcare’s 500,000 imaging devices globally and accelerate the speed at which healthcare data can be processed.

November 28, 2017

artificial intelligence machine deep learning

Just the beginning: 6 applications for machine learning in radiology beyond image interpretation

Discussions about machine learning’s impact on radiology might begin with image interpretation, but that’s only the tip of the iceberg. When it comes to realizing the technology’s full potential, it’s like Bachman Turner Overdrive sang many years ago: You ain’t seen nothing yet.

November 17, 2017

ICAD RECEIVES FDA APPROVAL FOR POWERLOOK TOMO DETECTION

First to market with innovative digital breast 3D tomosynthesis cancer detection and workflow solution, built on deep learning technology that improves efficiency and reduces reading time for radiologists

March 27, 2017

First Patient Treated With LC Bead LUMI™ Radiopaque Embolic Bead Supported by Philips Live Image Guidance

Collaboration brings new tools to interventional radiologists and oncologists to help treat liver cancer and enhanced patient care.

February 3, 2016

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

AI model for ankle stress radiography could reduce radiologists’ workload by average of 70%

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

Around the web