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.

AI-based imaging suite from Oxipit gains CE certification

Oxipit, a medical imaging solutions manufacturer based out of Vilnius, Lithuania, announced that its ChestEye imaging suite has received CE certification.

February 1, 2019

Novel 3D imaging method reveals origins of pancreatic cancer

A new three-dimensional (3D) imaging technique to analyze tissue samples allowed scientists to determine that pancreatic cancers can start and grow in two distinct ways, according to a Jan. 30 study published in Nature. The findings solve a question that’s plagued researchers for decades.

January 31, 2019

Deep learning network detects, localizes fractures on wrist x-rays

A team from Singapore demonstrated that an object detection convolutional neural network (CNN) could accurately detect and localize fractures on wrist x-rays, according to a Jan. 30 study published in Radiology: Artificial Intelligence. The method may be more verifiable than traditional CNNs.

January 30, 2019

VR app provides operating experience for medical students

GIBLIB, an Los Angeles-based streaming media platform, has launched a virtual reality (VR) app that provides an immersive operating room (OR) experience to medical students and physicians.

January 30, 2019

RSNA publishes first issue of its AI in radiology journal

RSNA has published the first issue of its new online journal, Radiology: Artificial Intelligence.

January 30, 2019

RSNA launches new journal focused on AI in radiology

RSNA has published the debut issue of its new online journal, Radiology: Artificial Intelligence.

January 30, 2019

fMRI reveals a lack of sleep increases sensitivity to pain

A team of U.S. researchers used fMRI to discover that a lack of sleep can reduce the brain's ability to combat pain, according to a Jan. 28 study published in the journal JNeurosci.

January 29, 2019

Stanford researchers release large chest x-ray dataset to train AI models

Researchers from Stanford University in California have published a large, public dataset containing more than 224,000 chest x-rays from more than 65,000 patients to train AI algorithms. The team also announced a competition inviting developers to submit their chest x-ray interpretation models to detect pathologies more accurately than certified radiologists.

January 29, 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