Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

AI algorithm optimizes CCTA image quality

Deep learning can improve the quality of coronary CT angiography (CCTA) images, according to a new study published in Academic Radiology.

December 19, 2019
Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

Prediction time: How will AI impact radiology in another 10-15 years?

AI continues to evolve at a rapid pace, with new algorithms and solutions being developed all the time. What kind of long-term impact could these technologies have on patient care?

December 17, 2019

AI predicts breast cancer risk better than current techniques

AI can identify women at a high risk of developing breast cancer more accurately than existing prediction models, according to a new study published in Radiology.

December 17, 2019
What should radiology be expending, in manpower as well as money, to help make medical imaging accessible to and from every clinical department? And what’s in enterprise imaging for radiology, anyway?

AI won’t replace radiologists, but it should make them better physicians

AI is almost certain to have a monumental impact on radiology, but what, exactly, will that mean for radiologists?

December 12, 2019

New AI-powered imaging technique IDs colorectal cancer with 100% accuracy

A new imaging technique that uses deep learning technology can identify tumors in colorectal tissue samples with 100% accuracy, according to findings published in Theranostics.

December 9, 2019

AI vendors discuss the biggest mistakes being made in healthcare today

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. 

December 6, 2019

AI models interpret chest x-rays using radiologist input

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.

December 6, 2019

MaxQ AI announces ISO 27001 certification

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

December 5, 2019

Around the web

U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.

When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.

A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.

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