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. 

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. 

Healthcare 3D printing market projected to grow at 16% annual rate till 2020

An analysis conducted by Grand View Research has estimated that the global healthcare 3D printing market will have a compound annual growth rate of 15.6 percent from 2014 to 2020 and is estimated to be worth $1.13 billion by 2020.

Look and listen: Optoacoustic sensor utilization improves intravascular imaging

Researchers at the Laser Zentrum Hannover eV (LZH) in Germany and the Technion-Israel Institute of Technology in Haifa, Israel, have developed an imaging technique that could enable the use of internal ultrasonic methods to gather information about heart tissues.

The brain on LSD looks as lit up as you’d expect

Whether or not the colorful images end up leading to novel therapies, the brain scans of people tripping on LSD captured in recent research at Imperial College London are worth a look. 

Cross-continental team mines autism biomarkers from fMRI scans

Clinical and neuroscience researchers in Japan and Providence, R.I., have put their heads together and come up with an algorithmic classifier that can distinguish between autistic and non-autistic brains as imaged with fMRI. 

Around the web

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.