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.

When healthcare AI meets the medical humanities
A primary aim of medical humanities as a field today is teaching medical students how to harmonize technological innovations with care models such that patients are treated as whole persons: They have not just bodies but also minds, relationships—and lives.
AI turns low-quality MRI scans into helpful heart images
A team of biomedical engineers, radiologists and cardiologists has developed a new AI model capable of restoring low-quality cardiac MRI scans.
New AI-enabled, helium-free MRI system earns FDA clearance
The scanner requires just 0.7 liters of liquid helium for cooling—a fraction of the more than 1,500 liters standard systems need to operate safely.
Healthcare AI today: Bipartisan AI policy guidance, AI claims denials, LLM brain rot, more
Federal lawmakers have a fresh resource to keep them up on healthcare AI that falls outside of formal FDA oversight. It comes in the form of a new report from the nonprofit Bipartisan Policy Center.
Common features of breast cancers missed by AI
Imaging experts advocate for “meticulous assessments” of cases that include luminal cancer, dense breasts, and lesions located outside the mammary zone, among other factors.

RSNA kicks-off pneumonia detection machine learning challenge

The Radiological Society of North America (RSNA) kicked off its second annual machine learning challenge on Aug. 27, inviting teams to create an algorithm capable of identifying and localizing pneumonia on chest x-rays.

Handheld imaging probe may help diagnose pediatric eye diseases, brain trauma

Researchers from Duke University have created a handheld probe capable of capturing images of photoreceptors in the eyes of infants—potentially aiding early diagnoses of brain-related diseases and trauma.

AI can detect specks of lung cancer with 95% accuracy

A team of engineers has developed an artificial intelligence (AI) system that can find lung cancer on CT scans with 95 percent accuracy.

AI algorithm detects lung nodules with 95% accuracy

Researchers at the University of Central Florida’s Center for Research in Computer Vision have created an artificial intelligence (AI) algorithm that can detect specks of lung cancer in CT scans with 95 percent accuracy.

VR tool could enhance medical imaging segmentation, error correction

Virtual Brain Segmenter (VBS), which automatically processes medical imaging data such as MRIs through segmentation, could increase the efficiency of brain scan analysis, according to a USC news release from Aug. 21.

Iron-based MRI contrast performs twice as well as gadolinium

Nanoscientists at Rice University in Houston have created a method to pack iron into nanoparticles to create MRI contrast agents that outperform gadolinium-based agents, according to research published in ACS Nano.

AI software detects lung cancer on CT scans with 95% accuracy

Engineers at the University of Central Florida's Center for Research in Computer Vision have developed an artificial intelligence (AI)-based system that can detect lung cancer on CT scans with 95 percent accuracy, according to a UCF news release.

Hybrid method may improve dataset quality, quantity for deep learning

A hybrid technique combining natural language processing (NLP) and IBM Watson can accurately label free-text pathology reports, according to a new Journal of Digital Imaging study. The method may improve the quality and quantity of large-scale datasets for deep learning.

Artificial Intelligence

When healthcare AI meets the medical humanities

AI turns low-quality MRI scans into helpful heart images

New AI-enabled, helium-free MRI system earns FDA clearance

Healthcare AI today: Bipartisan AI policy guidance, AI claims denials, LLM brain rot, more

Common features of breast cancers missed by AI