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.

Industry Watcher’s Digest
An influential industry group, AdvaMed, really likes President-Elect Trump’s choice of Dr. Oz for CMS administrator.
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.

IBM Watson, VA extend precision oncology AI partnership through 2019

The U.S. Department of Veterans Affairs (VA) and IBM Watson Health have extended their partnership leveraging artificial intelligence (AI) to help analyze cancer data in veterans with the disease.

July 19, 2018

Show me the money: Who will foot the AI bill? And how?

Artificial intelligence (AI) has the potential to revolutionize patient-care and serve as a valuable tool for radiologists. But with all its promise, a recent editorialist asked: Has anyone thought about how it will all be paid for? And by whom?

July 19, 2018

Brian MRI technique may predict disabilities in MS patients by measuring iron levels

The MRI-based technique of quantitative susceptibility mapping can monitor iron levels in the brains of multiple sclerosis (MS) patients, allowing physicians to identify those at a higher risk of developing physical disability, according to a recent Radiology study.

July 19, 2018

AI research on photo quality could work wonders for medical imaging

Researchers have shown that they can use artificial intelligence (AI) to restore low-quality photos by exposing a neural network to only other low-quality photos, according to work presented at the International Conference on Machine Learning in Stockholm.

July 18, 2018

3D MRI may surpass 2D for detecting knee cartilage defects

Technological advancements over the past three decades have placed 3D MRI on par with its 2D counterpart in depicting cartilage defects, according to a study published in Radiology. With specific alterations, the modality may be able to replace traditional MRI.

July 18, 2018

AI could protect public health by monitoring water treatment systems

Artificial intelligence (AI) is proving valuable across the healthcare spectrum—from helping radiologists screen for disease to predicting difficulties during surgery. Researchers now hope the cutting-edge technology could safeguard public health by monitoring large-scale water treatment operations.

July 18, 2018

Ohio radiologist says AI won't wipe out the profession anytime soon

Plenty of warnings have been offered about radiology's impending doom thanks to artificial intelligence (AI). Phil Shaffer, a radiologist at Riverside Radiology and Interventional Associates in Columbus, Ohio, offered a response with an opinion piece in The Scientist.

July 17, 2018

AI in radiology: 3 key ethical issues the specialty must address

As the influence of artificial intelligence (AI) continues to grow in radiology, the specialty must come together to re-examine its ethics and code of behavior, according to a new commentary published in the Journal of the American College of Radiology.

July 17, 2018

Artificial Intelligence

Industry Watcher’s Digest

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