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. 

Extracolonic findings on CTC represent mixed bag

Indeterminate renal masses detected on CT colonography (CTC) warrant follow-up as they have a one-in-five chance of malignancy, according a review of research of extracolonic findings on CTC published in the June issue of Academic Radiology.

Why is giving patients control of their medical images a good practice?

Online access to medical imaging information makes it convenient and practical for patients to share results of exams with specialists and sub-specialists for second opinion and consultation.

River Ranch Radiology and Affiliates Use eRAD RIS to Achieve Attestation for Stage 1 Meaningful Use

Using eRAD's Radiology Information System (RIS), River Ranch Radiology and affiliate Sendero Imaging and Treatment Center (RRR), a full-service imaging practice with sites across Central and South Texas, has successfully completed attestation for federal Stage 1 Meaningful Use.

Automated perfusion lesion outlining accurately speeds stroke assessment

An algorithm for automated identification of hypoperfused tissue in acute stroke patients has been shown to agree well with manually defined lesions and is superior to standard threshold approaches of labeling hypoperfused tissue, according to a study published online May 17 in Radiology.

Big data could equal big savings for healthcare

Leveraging the vast supply of information made possible by the burgeoning field of “big data” could result in annual savings of up to $450 billion in healthcare spending, according to a report from management consulting firm McKinsey & Co.

IDS Announces Upgrades to Voice2Dox Radiology Speech Recognition System

IDS today announced updates to Voice2Dox, its speech recognition application and clinical reporting workflow solution. The update incorporates new features for routine management, user personalization and mobility.

Sectra and Swedish healthcare provider sign nine-year contract

Blekinge County Council has signed a nine-year contract with medical imaging IT company, Sectra (STO: SECT B). The contract includes development, maintenance and support of the comprehensive county council IT solutions for the management of medical images and patient information, Sectra RIS and PACS.

MDs tap 3D printing + imaging to prep for surgeries

The combination of CT imaging and 3D printing is allowing surgeons at Children’s National Medical Center to create models of patient’s organs, which are then used to prepare for procedures. Read more at the link below.

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.