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. 

Hide & seek: Study shows spiculation can confuse breast imagers

Lesion spiculation may hinder breast cancer detection, according to a study published in the May issue of Academic Radiology. The study, which identified mammographic features that reduce detection, offers insights for radiology training programs and CAD algorithm development.

New Yorkers weigh in on patient portal design

The New York eHealth Collaborative (NYeC), a health IT nonprofit in the Empire State, has organized the Patient Portal for New Yorkers Design Challenge, asking developers to build innovative and user-friendly portals for patient information access.

Video: MR makes perfect fit for amputees

An MIT postdoctoral student has coupled MR images of amputees’ limbs and 3D computing to re-engineer the fit between prosthetic limbs and the body, which could address a major issue of discomfort for amputees.

New Agfa HealthCare Saudi Arabia Company Ltd puts focus on key growth market

Agfa HealthCare announces that it will establish a new subsidiary in the Kingdom of Saudi Arabia. Called Agfa HealthCare Saudi Arabia Company Ltd., this legal entity will be formally launched at a press conference to be held on May 13 at the Ritz Carlton Hotel in Riyadh, Kingdom of Saudi Arabia.

MR biomarkers may help ID patients at risk for MS conversion

Development of thalamic and central atrophy as measured by MR may accurately predict which patients with clinically isolated syndrome (CIS) will convert to clinically definite multiple sclerosis (CDMS) over a two-year period, according to a study published April 23 in Radiology. The findings could change how physicians view MS and how drugs are developed, the researchers noted. 

Spotlighting the Ballet of Mitosis

Like a pair of dancers sheathed in blue, two chromosomes take the cell’s center stage in this scene from the elegant—and usually perfectly performed—process of mitosis.

CAD conundrum: Software ups DCIS detection & diagnostic testing

The use of screening mammography CAD among Medicare patients is associated with increased incidence of ductal carcinoma in situ (DCIS), diagnosis of earlier stage breast cancer and additional downstream testing, according to a study published April 15 in Annals of Internal Medicine.

Tufts Medical Center Reports Carestream’s Web-Based Image Viewer Equips Physicians with Better, Faster Access to Patient Information

Physicians at Tufts Medical Center (Boston, Mass.) are enthusiastic about gaining instant access to patient imaging studies via the Web on devices such as the iPad using the CARESTREAM Vue Motion viewer.

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.