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.

Healthcare AI today: Rusty clinical skills, AI growing up so fast, AI for the malnourished
Clinicians who come to rely on AI for decision support risk the dulling of their skills. The concern is not new. But now comes a pointed call to researchers: Inquire about the particulars of the peril.
Which LLM is best for explaining radiology results?
With patients gaining access to imaging reports earlier than ever, it's critical they have access to large language models that can accurately summarize the results.
Rayus Radiology joins others in offering $40 mammography AI add-on service
The private equity-backed imaging group is initially launching artificial intelligence-enhanced breast imaging at clinics across Washington state.
FDA clears new AI-enabled coronary plaque analysis software
Circle Cardiovascular Imaging, a Canadian medtech company, received the key approval for its cvi42 | Plaque platform.
AI predicts interval cancer risk based on negative mammograms
The ability to predict interval cancer risk is intriguing for providers, as these cancers are often more aggressive and have worse prognoses.

Healthcare AI today: Whom to sue, invite into AI governance and altogether avoid (unless you want a new religion)

The question of legal responsibility for AI gone wrong in healthcare remains unsettled. The only sure thing is a lot of finger pointing.

AI-equipped wearables may have an important future in public health surveillance

Wearable health devices outfitted with AI seem poised to transition from consumer novelties to an integral layer of U.S. public-health intelligence.

AI company raises $55M with help from leading health systems

Ultromics plans to use the new funds to help expand its presence throughout the United States. In addition, the company is focused on developing additional AI-enabled software offerings.

GPT-4o translates radiology reports written in different languages in less than 30 seconds

These findings could have positive implications for regions with diverse patient populations, authors of a new analysis suggest.

Healthcare AI today: Action plan arguments, ways to monetize GenAI in healthcare, more

Or maybe the White House’s AI Action Plan will spur a mix of positive opportunities, negative challenges—and neutral adjustments.

Imaging AI vendor earns nationwide UnitedHealthcare coverage, sets $1.3B value ahead of IPO

California-based Heartflow, which offers an AI software that assesses coronary CT angiography scans, hopes to raise over $200 million through the stock offering.

hospital discharge planning AI artificial intelligence

3 ways AI can give patients an experience worth praising

PressGaney market researchers offer three observations on the technology’s potential for optimizing patient satisfaction—and, with it, subsequent ‘PX’ scores.

Father-son scan startup Maui Imaging balloons fundraising to $40M

Founded in 2006 by Don and Dave Specht, the Arizona company’s computed “echo tomography” product uses sound waves to cross through body barriers for “rapid and effective imaging.”

Artificial Intelligence

Healthcare AI today: Rusty clinical skills, AI growing up so fast, AI for the malnourished

Which LLM is best for explaining radiology results?

Rayus Radiology joins others in offering $40 mammography AI add-on service

FDA clears new AI-enabled coronary plaque analysis software

AI predicts interval cancer risk based on negative mammograms