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. 

World’s tiniest diamond specks could spark imaging innovation

Scientists from the Stanford University SLAC National Accelerator Laboratory are using microscopic traces of diamond isolated from petroleum fluids to grow customized, intentionally flawed nano-diamonds designed for next-generation medical imaging technologies.

Siemens partners with Case Western on MR ‘fingerprinting’ project

Siemens healthcare has partnered with Case Western Reserve University to advance the development of magnetic resonance fingerprinting (MRF), an innovative imaging method capable of analyzing tissues to speed diagnosis of certain diseases.

Thumbnail

Hybrid imaging (still) gaining momentum

Hybrid imaging systems, particularly PET/CT, may feel like old news at this point given its adoption into clinical practice. That doesn’t mean, however, that innovation will lag in the field.

British scientists use advanced imaging to observe cell apoptosis in 3D

Researchers from both the Imperial College London and the University College London have used an advanced imaging technique to capture 3D visualizations of cell processes, including apoptosis, in zebrafish, according to research published in the Journal of Biophotonics.

The rise of PET/CT: 5 predictions for the future of hybrid imaging

The addition of combination PET/CT examinations to the radiologist’s toolbox represents one of the most significant advancements in oncological imaging in the past decade. So what does the future hold for hybrid imaging?

The ‘pain matrix’ may only be peripherally related to pain

In a small but noteworthy fMRI study, British and Chinese researchers have found that two individuals born with a rare inability to feel physical pain evidence the same patterns of brain activity when pricked with a pin as four healthy, age-matched volunteers.  

Deadly lung disease imaged with 3D x-ray technology for the first time

British scientists have successfully used advanced 3D x-ray imaging technology to image an aggressive form of lung disease in a new way, providing more insight into how the disease develops inside the body.

First North American patient treated with combined pencil beam and cone beam CT

Doctors at the Texas Center for Proton Therapy in Irving, Texas, have become the first to image patients in North America using combined pencil beam proton therapy and iscocentric cone beam CT during cancer treatment. 

Around the web

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.