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.

Private equity firm buys health data analytics company Arcadia
With the buyout, global private equity investor Nordic Capital makes a big bet on healthcare AI. Arcadia said the influx of cash will be used to improve its technology and find new sources for data it can use for quality care initiatives.
Healthcare AI today: Mayo book, fraud busting, ‘shapeless monsters,’ more
Some AI researchers have taken to calling certain LLMs ‘Shoggoths.’ Be afraid. Be very afraid.
Russian researcher strategizes on collaboration with China over healthcare AI
Have you ever wondered what China and Russia would talk about if they were to discuss AI in healthcare? It turns out they do just that—and a newly published academic paper straight out of the Russian Federation offers a glimpse into the dialogue.
10-second brain MRI scans possible with newly FDA-cleared deep learning reconstruction software
The artificial intelligence-enabled software offers accelerated acquisition times, improved image resolution and one-click workflows for technologists.
Generative AI model shows potential for reading chest X-rays used for TB screenings
Generative artificial intelligence models have shown great potential for improving multiple aspects of the radiology field, but a new analysis cautions that they still require significant oversight.

Deep learning model enables routine radiographs to be used for osteoporosis screening

Many people with low bone mineral density are not aware of their condition because they fail to get screened through DXA or are not eligible due to age.

AI brings cardiology, neurology teams together to boost care for stroke patients

A new post-stroke care pathway from Viz.ai and Medtronic is associated with significant benefits, including higher patient and clinician satisfaction.

artificial intelligence AI in healthcare

Healthcare AI Digest

People are still asking if AI will replace doctors or other healthcare workers.

Radiology practice SimonMed Imaging launches breast AI program charging $40 a pop

The Scottsdale, Arizona-based practice follows in the footsteps of RadNet, which has generated millions in revenue from its own artificial intelligence program.

Healthcare systems are proceeding apace with GenAI—and learning as they go

Last summer more than 40% of 121 hospital executives surveyed said their organization had already realized a decent ROI in generative AI. However, a C-suite slice of nearly the same size said it was too soon to know for sure.

Breast cancer AI ribbon pink artificial intelligence

AI effectively flags mammograms of women who would benefit from supplemental MRI

Experts involved in the algorithm's development believe its time-saving potential could help improve both radiologist workflows and patient outcomes.

Top performing PACS companies based on user feedback

Agfa and Sectra both performed well with end-user satisfaction scores in the 2025 Best in KLAS list of radiology IT systems.

Healthcare AI Digest

Don’t judge DeepSeek on the innovativeness of its programming. Judge it on the degree to which it shakes up the economics of the AI market.

Artificial Intelligence

Private equity firm buys health data analytics company Arcadia

Healthcare AI today: Mayo book, fraud busting, ‘shapeless monsters,’ more

Russian researcher strategizes on collaboration with China over healthcare AI

10-second brain MRI scans possible with newly FDA-cleared deep learning reconstruction software

Generative AI model shows potential for reading chest X-rays used for TB screenings