by John R. Fischer
, Senior Reporter | November 21, 2017
Royal Philips is teaming up with Nuance Communications Inc. to implement artificial intelligence-based tools to enhance imaging interpretation and reporting capabilities for radiologists.
The two are combining the capabilities of Philips Illumeo with adaptive intelligence and Nuance PowerScribe 360 platform to reduce discrepancies and improve radiology reporting, accuracy and standardization.
“Philips is taking the approach of developing adaptive intelligence, in this case with Illumeo, to augment the expertise of the radiologist,” Yair Briman, business leader of health care informatics for Philips, told HCB News. “This direction serves to meet the overall goals of health care. It also serves the stated goals of the ACR’s newly launched Data Science Institute, which will work with industry partners and regulators to define the value of AI and spur its adoption in clinical practice, and improve diagnostic consistency and clinical outcomes.”
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Using Illumeo, radiologists can gain contextual relevance about patients with the solution-leveraging machine learning technologies to automatically collect patient data from different sources and provide automated anatomical awareness for findings. PowerScribe 360 is a real-time radiology reporting platform that generates quality reports quickly.
Radiologists will be able to view findings collected by Illumeo on its single viewer with PowerScribe 360 interpreting the data and providing feedback to Illumeo. The integration of both will provide point-of-care tools that enable risk stratification, greater report accuracy and structure, and faster turnaround times for optimizing work findings.
It will also enable a quicker and more accurate process for informing the next step of care while reducing costs and improving treatment through timely and appropriate management of diseases.
Karen Holzberger, vice president and general manager of diagnostics business with Nuance Healthcare, says the combination will optimize report findings and put in place a workflow that reduces redundant steps, thereby saving time and improving accuracy.
“This is going to be the first of what we believe [will be] thousands and thousands of algorithms coming from industry leaders like Philips and other industry leaders, because there’s so much data available,” said Karen Holzberger, vice president and general manager of diagnostics business with Nuance Healthcare. "It’s about the development of AI, accepting AI and putting it into practical workflow for the radiologist to be able to adopt them each and every day.”
Integration of the products is currently underway with releases of specialized, high-volume workflows expected sometime in 2018. The project will initially focus on algorithms for lung cancer treatment but will eventually expand to those in other areas of medicine, such as pulmonary embolisms and liver lesions.
A proof of concept demonstrating the work that has been completed to date will be on the display at the Nuance booth at RSNA.