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.

New AI program delivers rapid, accurate echo video assessments
The new technology shows early potential to make a significant impact on imaging workflows and patient care.
FDA commissioner urges health systems to strengthen AI quality oversight
FDA Commissioner Robert Califf, MD, explains the need for hospitals to perform quality assurance checks on clinical artificial intelligence to ensure these technologies don't "drift" from what was originally cleared by the FDA.
Cardiologists to highlight the many benefits of AI-powered CCTA evaluations
Two renowned cardiologists are teaming up to explore the short- and long-term impact of using advanced AI platforms to evaluate coronary CCTA results for signs of coronary artery disease.
Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage
Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.
Cleerly’s momentum continues as AI specialists raise $106M
The news comes at the end of a busy year for Cleerly. The company says it will use the funds to grow commercially and generate more evidence in support of its FDA-approved technology.

Combination of wearables, AI may help ID onset of cardiovascular disease

Wearable sensors and artificial intelligence (AI) could help predict the onset of cardiovascular disease by assessing an individual's changes in aerobic responses, according to new research published on Feb. 23 in the Journal of Applied Physiology.

May 17, 2018

FDA clears AI platform that quickly alerts specialists to strokes

The FDA cleared Viz.ai’s clinical support tool on Feb. 13, allowing the software that alerts clinicians to the possibility of a stroke to be marketed in the United States.

February 15, 2018

Health AI Startup Medial EarlySign Predicts Which Diabetic Patients Will Suffer Kidney Damage Within One Year

KFAR MALAL, Israel, Feb. 5, 2018 — Medial EarlySign, a leader of machine-learning based solutions to improve non-communicable disease management, today announced the results of an additional clinical data study in the domain of diabetes — identifying diabetic patients who are at highest risk for having renal dysfunction within one year.

February 6, 2018

Mount Sinai to utilize AI for cardiovascular care

To better use technology to treat congestive heart failure, New York’s Mount Sinai Hospital has plans to use CloudMedx Clinical AI Platform, an artificial intelligence services software, reports Fortune.

October 18, 2016

High marks for telestroke evaluation

Medical images viewed on smartphones can be effectively used to remotely evaluate stroke patients through telemedicine, according to a study published online ahead of print in Stroke.

October 3, 2012

Around the web

Radiology Business

Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

Health Imaging

Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.