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.

Commercially available AI increases breast cancer detection by nearly 20%
Results from the world’s largest prospective artificial intelligence study revealed the system could significantly benefit breast cancer screening programs.
Clinicians want AI to show its work
Providers are more likely to trust AI when they understand how it arrives at its conclusions.
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.
PHOTO GALLERY: Medical imaging technology at RSNA 2024
Take a virtual tour around the Radiological Society of North America (RSNA) meeting to see the sights and new technologies displayed across the vast exhibit hall floors.
Cardiology, radiology specialists debate CCTA’s rise as a go-to imaging modality for CAD
CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

Future medicine: Man + machine

Machines could replace 80 percent of doctors, Eric Topol, MD, director of the Scripps Translational Science Institute in La Jolla, Calif., and chief academic officer for Scripps Health, shared during a recent webinar hosted by the Health Information Management and Systems Society.

December 6, 2012

CT colonography CAD can boost sensitivity for hard-to-find polyps

CT colonography computer-aided detection (CAD) increased reader sensitivity for 6 mm to 9 mm polyps, while adding 1.6 minutes to image review time, according to a study published online Nov. 14 in Radiology. The findings may quiet concerns about the utility of CT colonography CAD related to lesions in this range.

December 5, 2012

MR CAD boosts diagnostic performance for prostate cancer

Radiologists who used an internally developed MR computer-aided diagnosis (CAD) system improved their performance in the differentiation of benign from malignant lesions at 3T multiparametric MRI, according to a study published online Nov. 30 in Radiology. Performance gains were more pronounced for less experienced reviewers.

December 4, 2012

Lung cancer overdiagnosis may be overinflated

Volume-doubling time (VDT) estimates could help distinguish aggressive from nonaggressive screen-detected lung cancers, according to a study published Dec. 4 in the Annals of Internal Medicine. Researchers who applied VDT estimates to a high-risk screening population reported that 75 percent of CT-detected cancers were aggressive. However, they noted 25 percent of incident cancers were slow-growing, and many of these may have been overdiagnosed.

December 3, 2012

KLAS: In PACS market, it’s innovate or perish

As the PACS market expands, the most successful vendors will be those that offer meaningful upgrades to enhance usability in a timely manner, according to a report from market researcher KLAS.

December 3, 2012

RSNA: EDDA previews 3D image guidance tool for the OR

EDDA Technology previewed its IQQA-Guide as a work-in-progress at the annual meeting of the Radiological Society of North America (RSNA) in Chicago.

November 30, 2012

RSNA: Claron's Nil viewer featured at IHE Image Sharing Demonstration

Claron Technology showcased its Nil (No Install) viewer in the Radiological Society of North America (RSNA) 2012 IHE Image Sharing Demonstration.

November 30, 2012

AJR: Radpeer has ‘little worth’ in tracking physician performance

The Radpeer system, which has become a part of physician performance evaluation in many practices, is unreliable and too subjective for the evaluation of discrepant interpretations, according to a study published in the December issue of the American Journal of Roentgenology.

November 30, 2012

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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.

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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.