Philips and Nuance team to bring AI directly into radiology reporting
Philips, a health technology company, and Nuance, a provider of intelligent voice and language solutions that provides 70% of radiology reports in the U.S., announced the companies will team on bringing artificial intelligence-based (AI-based) image interpretation and reporting capabilities to radiologists. The initiative will leverage assets from Philips Illumeo with adaptive intelligence and Nuance PowerScribe 360 to help reduce discrepancies, and improve radiology reporting, accuracy and standardization.
The American College of Radiology (ACR) recently launched a new Data Science Institute aimed at leveraging AI-based technologies in radiology. The ACR will work with industry partners and regulators to better define the value of AI and spur its adoption in clinical practice to improve diagnostic consistency as well as clinical outcomes. The news builds on Philips leadership in connected digital imaging systems, combined with AI-driven intelligent informatics solutions, to enhance patient and staff experience, improve diagnosis and treatment, and reduce costs.
Announced at RSNA 2016, Philips Illumeo, an imaging and informatics technology with adaptive intelligence, combines contextual awareness capabilities with advanced data analytics to augment the work of the radiologist. By providing a single view of the most relevant case-related information from various sources, Illumeo optimizes workflow and care consistency. Through integration with Nuance PowerScribe 360, a real-time radiology reporting platform that enables the rapid generation of high-quality actionable reports, radiologists will have access to a variety of tools at the point-of-care. These include tools for risk stratification, greater report accuracy and structure, faster turnaround times, and to more quickly and accurately inform the next step of care.
Lung cancer management programs are an example of how AI-driven solutions will change clinical and patient outcomes. They require large amounts of very carefully analyzed, annotated data and consistent follow-up, which can be challenging to achieve without disease specific workflows and automated tools to identify potentially problematic areas. Intelligent communication tools are also required to share findings. With a large number of patients meeting the high-risk criteria, hospitals and imaging centers face the challenge of trying to run these programs with clinical and financial efficiency.
Adaptive solutions from the Philips portfolio, like the Philips Lung Nodule Assessment and Comparison Option (LNA) application on Philips IntelliSpace Portal, and intelligent tools from Illumeo in unison with the Nuance PowerScribe 360 reporting platforms and PowerScribe 360 Lung Cancer Screening solution, help the ongoing management of lung cancer patient care programs. Integrated systems that leverage AI and tools like contextual relevance allow providers to efficiently present and analyze images to streamline interpretation. This helps radiologists screen and follow-up with high risk-patients for faster treatment, improve report consistency and turnaround time, and ensure timely and appropriate management of disease.
