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. 

3D virtual reality simulator shows surgical training promise

A virtual reality neurosurgery simulator seems poised to provide a cost-effective alternative to conventional surgical training approaches, according to an analysis of two initial training tasks completed on prototypes and published in the September issue of Neurosurgery.

Gender differences: SUVmax may predict survival in men w/ lung cancer, not women

Among a cohort of men and women with surgically treated early non-small cell lung cancer, maximum standard uptake value (SUVmax) independently predicted overall survival for men, but not for women, according to a study published online Sept. 14 in Journal of Nuclear Medicine.

MRI reveals weak links to amygdala in patients with anxiety

The brains of people with generalized anxiety disorder have weaker connections between the anterior cingulate cortex, the brain structure that controls emotional response, and the amygdala, according to a study published Sept. 4 in Archives of General Psychiatry. The findings suggest the brain's "panic button" may stay on due to lack of regulation.

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Using advanced viz to balance quality and cost

Advanced visualization plays a central role in delivering optimal quality while maintaining cost-effectiveness. Achieving these occasionally competing outcomes represents a challenging but doable balancing act.

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Next-Generation Healthcare Image & Information Exchange: The Foundation of Imaging Workflow and EMR Integration

Sponsored by GE Healthcare

With heightened interest and incentives for EMR and image and information sharing as part of a health information exchange--healthcare executives are focusing on coordinating their financial, clinical and technical resources on building and integrating a healthcare image and information archive that leverages their current IT investments while providing the foundation for imaging exchange workflow and EMR integration.

High marks for telestroke evaluation

Medical images viewed on smartphones can be effectively used to remotely evaluate stroke patients through telemedicine, according to a study published online ahead of print in Stroke.

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.