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. 

merger acquisition M&A business

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. 

Large language model Shoggoth monster

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.

Russia China AI in healthcare

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.  

SmartSpeed Precision DL recon software earns FDA clearance

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.

radiology trends x-ray imaging practice management

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. 

large language model chatbot

Healthcare AI today: Microsoft’s supersmart medical AI, patients talking street to AI, LLMs don’t really care, more

Patients who put some personality into their symptom descriptions may flummox large language models—to unfortunate effect.

ai artificial intelligence in rural healthcare

If present trends continue, the healthcare AI revolution may leave 56 million Americans behind

Research into the design and development of AI models for rural healthcare isn’t hard to come by. However, that’s about as far as most of the investigations go. 

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Mayo Clinic develops AI capable of substantially improving dementia diagnoses

With the software's help, readers are up to three times more accurate and interpretations are nearly twice as fast.