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.

5 ways to let AI raise patient satisfaction, elevate provider performance
It’s been years since AI proponents started promising big returns on healthcare providers’ investments in the technology. The results have yet to catch up with the pitches. What’s the holdup?
Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models
As these models continue to advance, it is important to understand how their performance holds up over time.
Startup aiming to automate 90% of imaging workflows, creating an ‘AI radiology resident,’ raises $23M
Software engineer and CEO Shiva Suri says he got the idea for New Lantern after watching his radiologist mother bogged down by administrative tasks.
FDA clears AI screening tool for cardiac amyloidosis
Ultromics designed EchoGo Amyloidosis to evaluate routine echocardiogram results for signs of cardiac amyloidosis. It received the FDA's breakthrough device designation back in 2023.
Medtronic using AI to identify more TAVR patients in need
Medtronic has launched new research into AI's potential to identify patients with severe aortic stenosis and other worrying symptoms. The company hopes to overcome longstanding health disparities and reach individuals who may otherwise go untreated.

AI uses wearable data to predict biological age

Researchers from GERO, a longevity biotech company, and the Moscow Institute of Physics and Technology (MIPT) have developed an artificial intelligence (AI) system that uses physical data collected from wearables to develop digital biomarkers of aging and fragility. Findings were published March 26 in Scientific Reports.

April 2, 2018

AI supercomputer platform may redefine medical imaging

Nvidia has released a new series of products aimed to accelerate the research and development of artificial intelligence (AI), with one focused on medical imaging, according to a recent article by Forbes.

April 2, 2018

Google AI algorithm may improve chest x-ray interpretation, radiologist efficiency

New artificial intelligence research from Google, presented at MIT Technology Review's EmTech Digital 2018 conference in San Francisco, may point to reducing the number of radiologist-annotated images required to train a deep learning algorithm for medical imaging applications.

April 2, 2018

Ohio State researchers devise algorithm for detecting presence, urgency of 4 conditions

A team of Ohio State University radiologists have developed artificial intelligence (AI) that can not only analyze hundreds of CT scans within minutes, but can detect the presence and urgency of hemorrhages, masses, hydrocephalus and stroke, according to the university’s paper, the Lantern.

March 30, 2018

‘Ghost imaging’ may limit x-ray radiation dosage

A team of physicists in China has used ghost imaging to make detailed x-ray images they claim has lowered the radiation dose by a “million times" compared to previous attempts using the technique, Science Magazine reports.

March 30, 2018

Seattle radiologist chats about AI, patient misconceptions and more

Seattle radiologist Maria Chong, MD, a body imaging specialist for Radia, said in a new interview that artificial intelligence (AI) and machine learning will “revolutionize radiology” in the next decade.

March 30, 2018

Machine learning edges out manual method in identifying spine findings

A group of U.S. researchers created a natural language processing (NLP) system which outperformed traditional rule-based methods in identifying lumbar spine findings, according to a study published online in Academic Radiology.

March 29, 2018

What will be the short- and long-term effects of AI on radiology training programs?

As the influence of artificial intelligence (AI) and machine learning (ML) continues to spread throughout medical imaging, radiology training programs may need to update their curricula and prepare for both the short- and the long-term effects of these new technologies, according to a new commentary published in Academic Radiology.

March 29, 2018

Artificial Intelligence

5 ways to let AI raise patient satisfaction, elevate provider performance

Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models

Startup aiming to automate 90% of imaging workflows, creating an ‘AI radiology resident,’ raises $23M

FDA clears AI screening tool for cardiac amyloidosis

Medtronic using AI to identify more TAVR patients in need