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. 

Hospitals experience 60% rise in bankruptcies, despite overall industry decline

A report from Gibbins Advisors found that, overall, the healthcare space is feeling the stress of economic chaos, including Medicaid cuts, tariffs and high interest rates.

military veteran depression suicide rates AI machine learning

U.S. Army veteran launches ‘Chief Bud’ AI tool to help soldiers find housing

The new tool received $25,000 in funding after winning the grand prize in a Veterans Day pitch contest. Currently in a pilot phase, the website will help troops find shelter, be it temporary or permanent.

breast cancer screening mammography

AI-supported mammography more effective than standard screening, new large-scale study contends

The findings come from Sweden's Mammography Screening with Artificial Intelligence, or MASAI, a randomized clinical trial incorporating over 105,000 women. 

robot doctor artificial intelligence

Call gets louder to license medical GenAI like any human healthcare professional

A growing chorus of academic physicians, policy experts and public health specialists is harmonizing behind the idea of licensing medical GenAI models like they’re doctors or nurses.

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Russia rolls out MosMed.AI to standardize healthcare AI nationwide

Initiatives include radiology image reading, data analytics, remote patient monitoring, speech recognition and more. Most of the federation has adopted the standards of the artificial intelligence platform. 

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Integration challenges may hinder trust in radiology decision support tools

Authors of a new paper caution that integrating CDS tools “is as much an organizational and cultural process as a technological one."

eMurmur Heart AI

FDA clears AI software for heart murmur detection with digital stethoscopes

eMurmer's new Heart AI software was designed to detect both the presence and absence of heart murmurs in digital stethoscope recordings. It can also gather critical hemodynamic data, helping care teams gain a better understanding of the patient's cardiovascular health. 

Stanford

Stanford Radiology’s AI Lab inks strategic partnership with Rad Partners

Under terms of the new team-up, the two organizations plan to pioneer methods for assessing and monitoring artificial intelligence tools in medical imaging.