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. 

FDA approves AI solution for enhancing medical images

Subtle Medical, a Menlo Park, California-based medical device startup, has received FDA clearance for its SubtlePET solution, which uses artificial intelligence (AI) to enhance medical images.

December 6, 2018
f7ac90a0-6f05-41a6-86e6-00e303e42748.png

New AI technology uses machine learning to clean up distorted, damaged images

DeepRay, a new solution from Cambridge Consultants, uses artificial intelligence (AI) to improve distorted or damaged images. The company has said this technology could provide significant value to healthcare providers by improving medical imaging data.

December 4, 2018

FDA providing expedited review of new AI software for diagnosing CTEPH

New software that uses artificial intelligence (AI) to diagnose chronic thromboembolic pulmonary hypertension (CTEPH) will receive an expedited review from the FDA as part of the agency’s breakthrough devices program. The program, first established in 2017 as part of the 21st Century Cures Act, is designed to speed up the development of devices and ensure timely patient access.

December 4, 2018
untitled.jpg

RSNA 2018: The value of automated recommendations in AI radiology reporting

As time goes on, artificial intelligence (AI) is becoming more widely accepted as a necessary component of clinical workflow in medical imaging. According to Tarik K. Alkasab, MD, PhD, a radiologist at Massachusetts General Hospital in Boston, AI has the potential to make radiology reporting much more consistent and ultimately help radiologists make smarter decisions.

November 27, 2018
vijay_rao_md.png

RSNA 2018: Vijay Rao wants radiologists to embrace AI

During her speech Sunday, Nov. 25, at the opening session of RSNA 2018 in Chicago, RSNA President Vijay Rao, MD, noted that today's radiologists will be empowered by new technologies, not replaced by them. 

November 26, 2018

RSNA 2018: Behind the scenes at this year's Machine Learning Showcase

Artificial intelligence (AI) is changing how radiologists think about and perform studies, so it’s no surprise AI and machine learning will take center stage this year at RSNA 2018 in Chicago.

November 26, 2018

Aidoc, SaferMD partner to offer AI-based solution for increasing MIPS scores

Aidoc and SaferMD are joining forces for a new solution that will use artificial intelligence (AI) to improve clinical results and give radiologists higher Medicare Merit-Based Incentive Payments System (MIPS) scores.

November 21, 2018

AI helps radiologists detect more breast cancers

Artificial intelligence (AI) support systems for reading mammograms can improve a radiologist’s ability to detect cancers, according to a new study published in Radiology. Using the system, the authors added, does not lengthen the overall reading time.

November 21, 2018

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

Trimed Popup
Trimed Popup