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. 

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.

Troy Teo explains iSeg AI tool for lung tumor segmentation.

New AI tool outperforms humans at lung tumor segmentation

The iSeg platform has the potential to significantly improve tumor segmentation processes prior to radiation therapy treatment. 

AI spots fatty liver on chest x-rays.

AI helps spot fatty liver disease on routine radiographs

If left undiagnosed and untreated for a prolonged period, fatty liver disease can progress to more serious conditions, such as cirrhosis and liver cancer.

AI artificial intelligence United States

Healthcare AI today: Aggressive AI spenders, backend AI in healthcare, life-saving AI, more

The U.S. is one of 23 countries that consider workforce AI training and education only a medium priority. Indeed, our homeland has a less detailed plan than 13 other nations.