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. 

Bismuth nanotubes enhance stem cells on CT

Researchers at Rice University in Houston have created a bismuth-carrying nanotube that can tag stem cells for tracking and creates CT images brighter than those created using iodine-based contrast agents.

MITA Highlights Value of CT Colonography at FDA Joint Panel

The Medical Imaging & Technology Alliance (MITA) today participated in a U.S. Food and Drug Administration (FDA) joint meeting of the Gastroenterology-Urology Panel and Radiological Devices Panel on computed tomography (CT) colonography. The joint panel was convened to discuss the benefits and risks of the imaging technology, also known as “virtual colonoscopy,” for asymptomatic colorectal cancer patients. 

Medical display market to swell past $3B by 2017

The global market for medical-grade displays is projected to jump 29 percent between 2012 and 2017, rising from $2.5 billion to $3.2 billion, according to market information firm IHS.

Communication breakdown: Analysis targets outpatient delays

An analysis of delays in diagnosis and treatment in the outpatient setting revealed a number of complex origins that call for even more advanced systems and performance measures to improve communication and coordination among providers.

Two image features point way to lossless CT compression

Important image features have been identified in efforts to design a computerized algorithm for compressing CT images without reducing quality to the naked eye, which potentially could relieve pressure on network and storage resources, according to a study published in the September issue of Radiology.

Thumbnail

Seeing more with MR

A couple of recent trials show off the ability of advanced MR techniques to improve diagnosis and treatment in two major settings: Crohn’s disease and brain cancer.

Advanced Image Enhancement and eRAD Enter into Licensing Agreement

Advanced Image Enhancement, Inc. (AIE) a provider of image enhancement tools for the medical imaging industry, announced today it has entered into an agreement with eRAD, Inc., a division of RadNet, Inc. (NASDAQ: RDNT), allowing eRAD to integrate the AIE image enhancement toolkit for mammography as an advanced image processing option to the eRAD PACS viewer (for mammography).

AdvaMed Applauds Senate Legislation Exempting FDA User Fees from Sequestration

Stephen J. Ubl, president and CEO of the Advanced Medical Technology Association (AdvaMed), issued the following statement after the introduction in the U.S. Senate of bipartisan legislation (S.1413) exempting FDA user fees from cuts under sequestration.

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.