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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.
IBM Watson Health and medical imaging contrast agent company Guerbet have entered a strategic partnership to develop artificial intelligence (AI) software to support liver cancer diagnostics and care by utilizing CT and MRI technology. The collaboration will have Guerbet and IBM Watson Health co-develop clinical decision support solutions including Watson Imaging Care Advisor for Liver, a diagnostic support tool that will utilize AI to automate the detection, staging, tracking, monitoring, therapy prediction and response of primary and second liver cancer for clinicians, according to a Guerbet press release published July 10. "Imaging is a critical area of healthcare where we believe artificial intelligence can be used to expand the physician's view so they can be more informed in their diagnostic and treatment decisions for their patients," said Anne Le Grand, vice president of imaging at IBM Watson Health.
IBM companies Watson Health and Merge Healthcare unveiled several new machine learning and artificial intelligence technologies for imaging at the RSNA Annual meeting in Chicago this week. Big Blue also showcased new advancements in how Watson technology can learn and gain understanding from image information, which researchers say now accounts for some 90 percent of all medical data. IBM has taken a keen insight in applying Watson's supercomputing capabilities to imaging – especially since its 2015 acquisition of Merge. Big Blue, in fact, is developing numerous tools to help automate analytics, enabling cross-reference X-rays, MRIs and other images against electronic health record data, lab results, genomic tests and more. At RSNA, Watson Health is showcasing: a cognitive peer review tool aimed at reconciling differences between a patient's clinical evidence and data in his or her EHR; a data summarization tool meant to give radiologists, cardiologists and others patient-specific clinical information when they're interpreting imaging studies; a decision support tool to enable physicians to integrate imaging data with other clinical information; the new MedyMatch "Brain Bleed" App, a cognitive image review tool intended to help ER docs diagnose strokes or brain bleed in trauma patients based on evidence in their patient records.