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. 

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Balancing act

In healthcare, the ideal technologies deliver optimal quality while holding the line on costs. Accuracy is key. Achieving these occasionally competing outcomes represents a challenging, but wholly doable, balancing act.

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DW MR may help reduce preventable breast biopsies

SPECT/CT helps detect lymph node metastasis in thyroid cancer

N.Y. rad practice taps McKesson for billing services

Park Avenue Associates in Radiology has selected McKesson RMS for coding and billing services for its radiology physician group and imaging centers.

Making a case for multimedia EHRs

Multimedia electronic health records (EHRs) are essential, according to a January 2011 workshop examining the role of multimedia images in the EHR. However, the report based on the workshop, which was published in August in Journal of the American Medical Informatics Association, outlined various challenges to the development of fully functional multimedia EHRs.​​​

The Data Dilemma

Data are the heart of medicine, science and business; yet for all of the value they deliver, data remain woefully elusive. Several of this week’s top stories illustrate various aspects of the data dilemma.

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Absence of health IT in EDs is a missed opportunity

BOSTON—Opportunities to engage patients using health IT in emergency departments are not being taking advantage of nearly as often as they should, according to the panelists of a Sept. 16 presentation at the 2012 Medicine 2.0 Congress.

Missing the mark: CAD systems can create false sense of certainty

Though computer-aided detection (CAD) systems are designed to improve image interpretation, they also can interfere with a visual search and elevate the chances that observers miss stimuli that were unmarked by CAD, according to a study published in the October issue of Academic Radiology.

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Around the web

Radiology Business
The biggest obstacles facing radiology business managers in 2025

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Cardiovascular Business
New cardiac prevention paradigm explored in TRANSFORM trial using AI and CCTA

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.

Cardiovascular Business
Cardiology practices pay $17.7M to settle fraud allegations brought on by whistleblowers

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.