IBM has unveiled new Watson-powered imaging solutions for healthcare providers at the Radiological Society of North America Annual Meeting (RSNA 2016).
The solutions from Watson Health and Merge Healthcare are being showcased at the event, which is being held from 27 November to 1 December.
Watson Health will exhibit a new cognitive peer review tool that enables healthcare professionals reconcile differences between a patient’s clinical evidence, and data in that patient’s electronic health record (EHR).
A cognitive data summarization tool will allow radiologists, cardiologists, and other physicians to gather patient-specific clinical information, which can be used while interpreting imaging studies or diagnosing and treating patients.
Watson Health’s cognitive physician support tool will enable doctors to take healthcare decisions based on integrating imaging data with other types of patient data, while cognitive image review tool will allow emergency room physicians to diagnose a stroke or brain bleed in a trauma patient by identifying relevant evidence in a patient record.
Merge’s Marktation, which is a new process to interpret medical images, will help physician to improve image reading speed and accuracy. It can be used in mammography application.
Watson clinical integration module is a cloud application that will allow radiologists to overcome errors in medical imaging such as base rate neglect, anchoring, bias, framing bias, and premature closure.
Lesion segmentation and tracking module will help radiologists to interpret and report comparison exams in cancer patients and for other patient conditions that require longitudinal tracking.
IBM Watson Health imaging vice president Anne LeGrand said: “The breadth and depth of Watson-powered solutions on display at RSNA 2016 from Watson Health’s imaging group and from Merge are unmatched among the AI community, and showcase how IBM is bringing cognitive computing to healthcare in clinically meaningful ways.”
Image: IBM Watson Health's cognitive computing demo for radiologists at RSNA 2016. Photo: courtesy of Flickr / IBM.