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. 

RSS icon
breast_cancer_ai

RadNet: General radiologists achieve specialist-level performance interpreting mammograms with help from AI

The Los Angeles-based provider and its AI division, DeepHealth, recently assessed the skills of 18 physicians using their custom-built software. 

Video of Mahadevappa Mahesh, PhD, incoming-AAPM president, professor of radiology and a medical physicist, Johns Hopkins University School of Medicine, explains key trends in imaging physics presented at the Radiological Society of North America (RSNA) 2023 meeting.

6 key trends in medical imaging physics

Mahadevappa Mahesh, PhD, incoming American Association of Physicists in Medicine president, discusses key developments in the specialty. 

Seno Medical Imagio breast imaging system.

AMA adds code to allow for reimbursement of opto-acoustic imaging modality

The new imaging modality was pioneered by Seno Medical for diagnosing breast cancer.

Valentines Data

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence terminology AHA

5 terms every hospital trustee—and healthcare AI stakeholder—should know

As AI continues infiltrating healthcare at nearly every level, the technology’s potential for good and ill must become—or remain—a preeminent concern for hospital boards of trustees.

AI cardiology heart artificial intelligence deep learning

AI could be a game-changer for TAVR, but cardiologists remain ‘irreplaceable’

The rise of TAVR as a go-to treatment option for many AS patients has been one of the biggest stories in cardiology for several years now. How will advanced AI models impact this trend going forward? 

artificial intelligence robot evaluates healthcare data

FDA clears advanced AI model for detecting, quantifying bleeding strokes

The new algorithm from Viz.ai is capable of identifying, labeling and quantifying brain bleeds in noncontrast CT images.

Marielle Scherrer-Crosbie, MD, Hospital of the University of Pennsylvania, discusses the latest trends in cardiac strain echo.

Interest in strain echo imaging is rising, but hurdles remain

Marielle Scherrer-Crosbie, MD, told Cardiovascular Business that the current lack of reimbursement for strain echocardiography has been a challenge for care teams. 

Displaying 425 - 432 of 2555
Design by Adaptive Theme