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.

Is transparency really the answer to the ‘black box’ problem?

To improve transparency, black box algorithms are increasingly being built with functions that explain their diagnostic findings. But a recent NPR report examined how this isn’t always effective, and why a different approach to creating algorithms may be the answer.

April 1, 2019

X-rays plus software competitive with CT for advanced pelvic imaging

Going by a small study published online March 22 in European Radiology, biplanar digital radiographs of the hip joint reconstructed in 3D as well as 2D are sufficiently comparable on coverage assessments with similarly rendered CT scans to justify the reduction in radiation dose as well as in, presumably, the cost of image acquisition.

March 27, 2019

Ebit (Esaote Group) and DiA Imaging Analysis have partnered offering Advanced AI-based Cardiac Ultrasound Analysis

BE'ER SHEVA, Israel — Genoa, Italy — DiA Imaging Analysis, a leading provider of artificial intelligence (AI)-powered ultrasound analysis tools, announced today that it has partnered with the Italian healthcare IT company Ebit (Esaote Group), to offer DiA’s LVivo Cardiac Toolbox as an integrated part of Ebit's SUITESTENSA CVIS (Cardiovascular Information System) PACS.

March 27, 2019

Virtual reality proves a useful treatment tool for interventional radiologists

Research presented at this year’s Society of Interventional Radiology conference in Austin, Texas, suggests virtual reality (VR) could be useful to interventional radiologists, improving treatments using real-time 3D images from inside a patient’s vessels.

March 26, 2019

AI-powered triage software for mammograms gains FDA clearance

CureMetrix, a La Jolla, California-based healthcare technology company, has received FDA clearance for its new AI-based triage software solution for mammography.

March 25, 2019

AI trained on more than 1M medical images accurately detects breast cancer

Researchers have developed a new convolutional neural network (CNN) that can predict the presence of breast cancer with the accuracy of an experienced radiologist.

March 22, 2019

Perfusion MRI shows CPAP healing the brains of apnea patients

It’s well established that widely used CPAP devices help give a good night’s rest to people with obstructive sleep apnea. Now an MRI-based study has shown the breathing assistance provided by continuous positive airway pressure also increases blood flow to, and blood volume in, the brain.

March 22, 2019

AI predicts how NSCLC patients will respond to chemotherapy

Artificial intelligence and radiomics can help specialists predict how patients with non–small cell lung cancer (NSCLC) will respond to chemotherapy, according to new research published in Radiology: Artificial Intelligence.

March 21, 2019

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