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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FDA has now cleared more than 1,000 AI models, including many in cardiology

Cardiology is the medical speciality with the second most FDA clearances overall. 

Withings, a French medtech company known for its remote monitoring devices, has multiple new services on display at CES 2025.

CES 2025: Cardiologist check-ups, AI-powered smart mirrors coming to heart patients’ homes

Healthcare companies from all over the world are showing off their newest cardiovascular offerings at CES 2025 in Las Vegas.

Video of Deepak Bhatt explaining details on the TRANSFORM trial using CCTA and AI. #TCT #TCT24 #TCT2024 #AHA24 #AHA2024

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.

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.

doctor examines patient data on their tablet

Advancing AI for vascular surgery will require a commitment to data integrity

For artificial intelligence to truly transform care, the healthcare industry must address certain challenges. Jens Eldrup-Jorgensen, MD, a veteran vascular surgeon and member of the Society for Vascular Surgery, explains in a guest editorial. 

Kate Hanneman, MD, chair of the Radiological Society of North America (RSNA) program planning committee, explains some of the key trends she saw in sessions during RSNA 2024. #RSNA #RSNA24 #RSNA2024

RSNA 2024 Program Chair Kate Hanneman highlights key trends in radiology

The cardiac radiologist and associate professor at the University of Toronto offered insights into key themes from the conference. 

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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 Robert Califf, MD, explains the U.S. is spending the most on healthcare of any country, but has poorer outcomes than other western nations. He said healthcare reform is needed to change that course. #Healthdisparities #healthequity

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.
 

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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.