Artificial Intelligence
10:21 am
May 09, 2019
New data suggests that artificial intelligence can identify patterns that indicate breast cancer development.
Photo (detail) by Masur - own work, CC BY-SA 4.0.
04:05 pm
May 08, 2019
The academic medical center and the physician-owned malpractice insurer will explore how AI can be integrated into the workflows of frontline clinicians to reduce errors, boost quality and safety and improve patient experience.
12:21 pm
May 07, 2019
Health application developer Clarigent Health is teaming up with The Children’s Home of Cincinnati to complete a pilot study using Clarigent’s artificial intelligence-powered mobile decision support app.
02:38 pm
May 06, 2019
The radiology provider says up to 5,400 authorizations could be required per day. Automation of the process, while maintaining a human touch, has brought many efficiencies.
11:08 am
May 06, 2019
Recursion releases more than 300 gigabytes of data it hopes will be a "playground" for innovative new machine learning applications.
Photo: Dean Koh
05:14 am
May 06, 2019
Three representatives from their respective fields of AI – clinical practice, research and healthcare apps came together for a panel discussion around the current and future developments of AI in healthcare on the second day of the HIMSS Singapore eHealth & Health 2.0 Summit on
Photo: US FDA
10:21 am
May 01, 2019
Agency says it will also evaluate blockchain and IoT technologies for creating a safer food system.
02:22 pm
April 30, 2019
Digital transformation is a top priority at most healthcare organizations today, but progress so far has been fragmented.
10:04 am
April 29, 2019
Organizations aim to advance the radiology community’s use of existing and emerging technologies.
02:14 pm
April 26, 2019
As health systems merge, the need to reconcile data sets from disparate EHR systems for population health and quality improvement is critical, and artificial intelligence can help, the company says.
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Above: A side-by-side comparison of multiple sclerosis lesion segmentation. Left image shows manual lesion segmentation, while right shows fully automated lesion segmentation. Image courtesy of SNAC.
