IBM this week announced it has created a Watson Health medical imaging collaborative, a global initiative including more than fifteen leading health care entities such as academic medical centers, ambulatory radiology providers and imaging technology companies. The collaborative aims to bring cognitive imaging into daily practice to help doctors address cancers, diabetes, eye, brain and heart diseases. Members of the collaborative intend to put Watson to work to extract insights from previously'invisible' unstructured imaging data and combine that with a variety of data from other sources. In doing so, the efforts may help doctors make personalised care decisions relevant to a specific patient while building a body of knowledge to benefit the broader patient populations. This information may include data from electronic health records, radiology and pathology reports, lab results, doctors' progress notes, medical journals, clinical care guidelines and published studies.
The goal is for the technology to quickly scan medical images and prioritize abnormal results, allowing doctors to spend their time on the more difficult cases. The machines would also provide a check on human error. Companies are jumping on board. IBM Watson Health, which acquired enterprise imaging software company Merge Healthcare in 2015, plans to put its Watson supercomputer to work analyzing medical images. One of its projects, presented at the Radiological Society of North America's annual conference, focuses on research around aortic stenosis, a heart condition that occurs when the aortic valve narrows.
After several months of beefing up the Watson Health Unit, IBM on Wednesday announced it has recruited 16 other entities involved in the health care sector to from a new Watson Health medical imaging collaborative. The global collaborative aims to advance cognitive imaging in a range of medical specialties, from eye care to the treatment of heart and brain disease. The group plans to use Watson to analyze previously "invisible" unstructured imaging data, found in places such as radiology and pathology reports, as well as broad swaths of data collected from sources like population-based disease registries. "There is strong potential for systems like Watson to help to make radiologists more productive, diagnoses more accurate, decisions more sound, and costs more manageable," Nadim Michel Daher, a medical imaging and informatics analyst for Frost & Sullivan, said in a statement. "This is the type of collaborative initiative needed to produce the real-world evidence and examples to advance the field of medical imaging and address patient care needs across large and growing disease states."
At the recently held 105th RSNA Scientific Assembly and Annual Meeting, International Business Machines Corporation IBM highlighted some of its clients and collaborations for its IBM Watson Health Imaging artificial intelligence (AI) platform. The IBM Watson Health unit is one of the leading platforms engaged in developing AI and data-driven technologies for augmenting healthcare services. The solutions are aimed to effectively respond to some of the most challenges scenarios in healthcare. About Watson Health Imaging's Collaborations At the RSNA event, the IBM Watson Health platform will be showcasing solutions across AI and Machine Learning, Enterprise Imaging, Vendor Neutral Archive, Image Viewing and Sharing as well as PACS. We note that on Oct 30, 2019, Clinical Review 3.0 was launched in the U.K. The solution identifies missed findings by analyzing medical imaging and related reports.