A majority of U.S. consumers are confident AI will have a positive impact on both patients and healthcare providers, according to a new report from Blumberg Capital.

More healthcare providers are starting to investigate how AI can improve patient care, but many of them hurt their own chances of success by making costly mistakes. We spoke with numerous AI vendors about some of the most common mistakes they see being made today. 

AI models can be trained to evaluate chest x-rays as well as radiologists, according to a new study published by Radiology. Specialist-approved reference standards played a crucial role in the team’s research.

MaxQ AI has achieved ISO 27001 certification, meaning the Tel Aviv, Israel-based company fully complies with the internationally recognized information security standard.

Implementing AI solutions into clinical practice can be a long, challenging process, according to a presentation at RSNA 2019 in Chicago. When the time comes, some providers will have the patience to make it all the way to the finish line—while some won’t.  

Researchers from the Yale Center for Health and Learning Games are hoping they can keep some teenagers from vaping with an assist from virtual reality (VR).

Siemens Healthineers has announced the arrival of two new AI-based software assistants designed to help radiologists interpret MRI examinations. The solutions were officially introduced to the public at RSNA 2019 in Chicago.

AI technologies could change the practice of medical imaging forever, but many hospitals and radiology departments remain hesitant to move forward and adopt it at their own facilities.

Amazon Web Services (AWS) has announced a new AI-powered medical transcription service, Amazon Transcribe Medical, designed to improve clinical documentation for healthcare providers.

The rise of AI is one of the most popular topics in all of radiology, but there are still clear limits to its potential.