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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10-year imaging study examines long-term side effects of smoking cigarettes

The findings support the notion that it is never too late to quit smoking, as the benefits of doing so are clear, experts involved in the study suggested.

Example of data generated by an automated artificial intelligence (AI) brain CT assessment tool from Annalise.ai at RSNA 2022. What does brain imaging look like?

AI company racks up 7 new FDA clearances for image triage and notification solutions

The Australia-based company made the announcement on April 12 in a release that described the timing of these AI-assisted solutions as “increasingly important” amid growing workloads and staffing shortages. 

liver cancer

AI detects more than half of metastases overlooked by radiologists on CT

Reasons for the gap between AI and rads could include the physician's physical and mental condition at the time of the study, experts noted. 

cardiovascular emergency ambulance

AI could point first responders to ready, willing and able hospitals in real time

People suddenly stricken with a cardiovascular crisis often survive and recover as long as they’re transported ASAP to a hospital that has two attributes: expertise in emergency heart care and capacity to accommodate the incoming episode.

venture capital corporate suit business corporatization

Private equity healthcare deals hit $90B in 2022, with AI one key 'sector to watch'

Investors continue to pour funds into radiology and other segments of medicine, seeking shelter from volatility seen elsewhere.

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AI predicts the likelihood of a common TAVR complication

Many patients still require a permanent pacemaker following TAVR. In fact, it is more common after TAVR than after surgical aortic valve replacement. 

Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA

Experts developed a deep learning model that can estimate breast density

When tested, the model achieved a performance comparable to that of human experts.

Coalition for Health AI

Coalition acts to ensure credible, fair, transparent AI in healthcare

Having identified an “urgent” need for guardrails to keep healthcare AI from veering into an avoidable ditch, the Coalition for Health AI has put together a 24-page guide applicable to numerous groups of stakeholders.