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. 

Siemens Healthineers offers new way to proactively manage care gaps with AI solution at HIMSS 2018

At the 2018 HIMSS Annual Conference & Exhibition, Siemens Healthineers showcases the Proactive Follow-up solution as part of its Siemens Healthineers Digital Ecosystem.

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MRI, machine learning in Silicon Valley could help you live longer

The Silicon Valley-based company Cellularity and Human Longevity is offering a service that may help humans live longer, according to a recent article by Business Insider, U.K.  

What's behind baseball's home-run binge? CT may have an answer

In 2017, 6,105 home runs were hit in Major League Baseball games—breaking the steroid-fueled record from 2000. Homers have been on the rise since the middle of the 2015 season, and researchers decided to use CT to peer inside these "juiced" baseballs for an answer.

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U of C's Giger: How machine learning can succeed in medical imaging

Maryellen Giger, PhD, and professor of radiology at the University of Chicago discusses what must occur for machine learning to succeed in health imaging and what clinicians and patients should expect in the future from the synergy of medical imaging and artificial intelligence.

Siemens Healthineers launches ACUSON Juniper next-generation ultrasound system

Siemens Healthineers has launched the ACUSON Juniper, a new ultrasound system with advanced applications and imaging performance while featuring a lightweight, ergonomic design and complete maneuverability for use across a wide variety of clinical segments.

Purdue startup hopes to enhance MRI with coin-sized device

A Purdue University-affiliated startup—MR-Link—is developing a coin-sized device that researchers hope will allow medical professionals to perform multiple scans at once, according to a Purdue research foundation release.

Philips launches digital Ingenia Elition MR Solution, delivering premium digital image quality up to 50% faster

Debuted at ECR 2018, the newest addition to Philips' digital MR solutions portfolio provides breakthrough in speed, improved patient experience and clinical confidence.

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Metal artifact algorithm reduces radiation exposure, improves accuracy

A study published in the March issue of the American Journal of Roentgenology found an advanced metal artifact reduction (MAR) algorithm improved lesion detection accuracy near hardware while also reducing radiation exposure.

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.