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. 

Stark bill to propose penalties for those lagging in EHR adoption

House Ways and Means Health Subcommittee Chair Pete Stark, D-Calif.,plans to introduce a bill intended to encourage nationwide adoption ofEHRs this week, which will include a provision to impose penalties onhealthcare providers who fail to implement them.

VHA unveils dashboard for cardiac departments, cath labs

VHA has launched its Cardiac Performance Dashboard, a management tool that allows hospital administrators and clinicians to monitor, manage and forecast their cardiac department’s clinical, financial and operational performance in real time.

Osteoarthritis company installs eRAD web-based PACS

ConforMIS, a company that develops and commercializes personalized, minimally invasive orthopedic devices, has installed eRAD PACS for its proprietary image-to-implant process.

Virtual dissection shortens CT colonoscopy learning curve

Although CT colonography has become a technically feasible screening tool for colorectal cancer, few radiologists have implemented the exam as a service line in their practice, perhaps because exam interpretation is time consuming, requiring analysis of 2D and 3D data sets. A training method for virtual dissection reading, along with concurrent use of computer-aided detection (CAD) technology, may shorten the learning period and significantly increase diagnostic values achieved by inexperienced interpreters.

Diffusion tensor imaging is alternative for measuring functional brain injury

Diffusion tensor imaging (DTI) is an effective a surrogate marker of brain tissue integrity, according to a study published in the September issue of Archives of Neurology.

TomoTherapy, Vision RT team for 3D imaging technologies

TomoTherapy has partnered with Vision RT to expand imaging options forHi-Art treatment system users.

Coalition calls for Congress to pass health IT legislation

The Health IT Now! Coalition Tuesday released a joint letter to U.S.House and Senate members urging them to redouble efforts to passlegislation for the creation of a nationwide EHR system.

Virtual dissection shortens CT colonoscopy learning curve

Although CT colonography has become a technically feasible screening tool for colorectal cancer, few radiologists have implemented the exam as a service line in their practice, perhaps because exam interpretation is time consuming, requiring analysis of 2D and 3D data sets. A training method for virtual dissection reading, along with concurrent use of computer-aided detection technology, may shorten the learning period and significantly increase diagnostic values achieved by inexperienced interpreters.

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.