Not to be outdone by OpenAI’s ChatGPT, Google recently introduced the latest version of its own large language model (LLM), which could be particularly beneficial within the realm of medical imaging, according to CEO Sundar Pichai.

Although artificial intelligence assistance has proven to be of great benefit to radiologists interpreting mammograms, new data bring pause to experts’ optimism relative to AI, due to the bias it can spark. A new paper published in Radiology highlights how automation bias can impair the performance of radiologists across a range of experience levels, even the...

An artificial intelligence-based model has the potential to improve follow-up adherence for radiologist-recommended additional imaging (RAI). The AI model could have great utility in ensuring patients undergo radiologist-recommended follow-up imaging, experts involved in the study suggested.

Cardiology is the speciality with the second largest grouping of U.S. Food and Drug Administration (FDA) cleared artificial intelligence (AI) applications, trailing only radiology. A sizeable number of these cardiology-focused AI algorithms are for cardiac ultrasound, and that number is growing.

Researchers out of Rutgers University in New Jersey have used artificial intelligence (AI) to anticipate when patients may present with atrial fibrillation (AFib), heart failure and other cardiovascular conditions, sharing their findings in Genomics.

Google’s medically focused generative artificial intelligence model achieved 85% accuracy on a U.S. Medical Licensing Examination (USMLE) practice test, the highest score ever recorded by an AI model, according to preliminary results shared by the Google Health AI team.

Amy Thompson, a senior analyst at Signify Research, explains what she is seeing in the market for radiology PACS and IT systems. She said the biggest overall, strategic technology trends are wider adoption of enterprise imaging, migration to cloud data storage, adoption of artificial intelligence (AI), streamlining workflow, and implementing structured reporting.

DiA Imaging Analysis, an Israel-based healthcare technology company, has gained U.S. Food and Drug Administration (FDA) clearance for LVivo IQS, a new software solution designed to help users acquire high-quality echocardiography images, regardless of their experience.

The integration of artificial intelligence into radiology PACS and enterprise imaging systems has become a big topic of discussion with IT vendors over the past couple years. This has become a bigger question from hospitals and radiology groups as there are now about 400 radiology related AI algorithms that have U.S. Food and Drug Administration...

Text-generating AI models, such as ChatGPT, have the potential to “revolutionise the field of medical writing” by automating tasks and increasing efficiency throughout the writing process.