PARIS - 29 nov. 2016: IBM a annoncé en avant-première lors du Radiological Society of North America Annual Meeting (RSNA 2016) de nouvelles solutions d'imagerie utilisant Watson Health et Merge Healthcare (Merge étant une entreprise IBM) conçues pour aider les fournisseurs de soins de santé à mener des approches personnalisées pour le diagnostic, le traitement et le suivi des patients. Les solutions bénéficient de plus d'une décennie de travaux de machine learning et d'intelligence artificielle menés au sein d'IBM Research. De plus, IBM Research a signé un partenariat avec la Radiological Society pour réaliser une démonstration en direct de la façon dont Watson comprend, raisonne et apprend à partir des informations de l'imagerie.

L'imagerie médicale est de loin la source d'informations la plus importante et possédant  la croissance la plus rapide dans l'industrie de la santé. Les chercheurs d'IBM estiment qu'elle représente au moins 90% du total des données médicales d'aujourd'hui,  mais ce qui engendre également des défis qui doivent être relevés. Le volume des images médicales peut être massif même pour les plus grands spécialistes et les radiologues de certains hôpitaux se retrouvent soumis à des milliers d'images chaque jour.
 
Watson Health fera la démonstration de :

• Son outil cognitif de partage des données patients visant à aider les professionnels de la santé à concilier les différences entre les données cliniques d'un patient et les données de son dossier de santé électronique (DSE).
• Un outil de synthèse des données cognitives destiné à fournir aux radiologues, cardiologues et autres médecins des informations cliniques spécifiques sur le patient pour les aider lors de l'interprétation des études d'imagerie,  lors du diagnostic ou du traitement de celui-ci.
• Un outil cognitif de soutien aux médecins destiné à les aider à personnaliser leurs décisions en intégrant des données d'imagerie avec d'autres types de données de patients.
• L'application «Brain Bleed» de MedyMatch, un outil d'examen cognitif de l'image, destiné à aider les urgentistes à diagnostiquer un accident vasculaire cérébral ou un saignement cérébral chez un patient traumatisé grâce à des éléments pertinents au sein de son dossier.

Merge fera la démonstration de :

• Marktation, un nouveau processus d'interprétation des images médicales destiné à aider les médecins à améliorer la vitesse et la précision de la lecture d'images, avec une première application en mammographie.
• Un module d'intégration clinique Watson, une application dans le Cloud pour les radiologues afin d'accroître l'efficacité du lecteur et aider à éviter les erreurs courantes dans l'imagerie médicale, comme la négligence de base, l'ancrage, le biais, le biais d'encadrement ou la clôture prématurée.
• Un module de segmentation et de suivi des lésions, conçu pour aider les radiologues à augmenter la rapidité d’interprétation et de livraison des examens comparatifs chez les patients atteints de cancer ou d'autres maladies nécessitant un suivi sur le long terme.

CHICAGO - 29 November 2016: IBM (NYSE: IBM) today announced at the Radiological Society of North America Annual Meeting (RSNA 2016) it will preview new imaging solutions from Watson Health and Merge Healthcare (Merge; an IBM Company) designed to help healthcare providers pursue personalized approaches to patient diagnosis, treatment, and monitoring. The solutions benefit from more than a decade of machine learning and artificial intelligence (AI) work conducted in IBM Research. Further, IBM Research has partnered with the Radiological Society to debut a live demonstration of how Watson understands, reasons and learns from imaginginformation.

 
Medical images are by far the largest and fastest-growing data source in the healthcare industry -- IBM researchers estimate that they account for at least 90% of all medical data today -- but they also present challenges that need to be addressed. The volume of medical images can be overwhelming to even the most sophisticated specialists; radiologists in some hospital emergency rooms are presented with thousands of images each day.

Tools to help clinicians extract insights from medical images remain limited, requiring most analysis to be done manually. This has created an opportunity to analyze and cross-reference medical images against a deep trove of lab results, electronic health records, genomic tests, clinical studies and other health-related data sources to enable providers to compare new medical images with a patient’s image history as well as populations of similar patients to detect changes and anomalies.

“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,” said Anne LeGrand, Vice President of Imaging for IBM Watson Health.

Watson Health will show:

• A cognitive peer review tool intended to help 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 intended to provide radiologists, cardiologists, and other physicians with patient-specific clinical information to use when interpreting imaging studies, or when diagnosing and treating patients.
• A cognitive physician support tool intended to help doctors personalize healthcare decisions based on integrating imaging data with other types of patient data.
• The MedyMatch “Brain Bleed” App, a cognitive image review tool intended to help emergency room physicians diagnose a stroke or brain bleed in a trauma patient by identifying relevant evidence in a patient record.      

Merge will show:

• Marktation, a new process for interpreting medical images intended to help physicians improve image reading speed and accuracy, with an initial application in mammography.
• Watson Clinical Integration Module, a cloud application for radiologists that aims to help increase reader efficiency and counteract common causes of errors in medical imaging, such as base rate neglect, anchoring, bias, framing bias, and premature closure.
• Lesion Segmentation and Tracking Module, designed to help radiologists increase the speed by which they interpret and report comparison exams in cancer patients and for other patient conditions that require longitudinal tracking.

“Watson cognitive computing is ideally suited to support radiologists on their journey ‘Beyond Imaging’ to practices that address the needs of patient populations, deliver improved patient outcomes, and demonstrate real-world value,” said Nancy Koenig, General Manager of Merge Healthcare. “This week at RSNA, Merge is proud to unveil solutions for providers that enable the first steps on the cognitive care journey, addressing breast cancer, lung cancer, and trauma patients in the ER.”

 
RSNA and IBM Research Show Physicians How Watson Understands, Reasons and Learns
IBM Research will show physicians how Watson might reduce the time to diagnosis and increase efficiency in provider workflows. Radiologists select cases from a variety of imaging topics, make their diagnosis, and see how a Watson solution attempts to assist the same case as it understands, reasons and learns from text- and imaging data in real time.

The live demonstration showcases more than a decade of work by IBM Research’s top medical imaging, text mining, and AI data scientists. The demo is able to analyze patient data culled from thousands of data sources and present insights in a compact summary report intended to help clinicians efficiently reach a differential diagnosis. For example, the technology featured in the demo uses deep learning to recognize positions in the body for major anatomical structures (such as in a CT imaging study) and detects anomalies (such as dissections in the aorta, or embolisms in pulmonary arteries). Combining imaging and clinical data with clinical knowledge, it performs clinical inference on the patient’s condition and its management, pre-assembling relevant information in a simple online format for a diagnosing physician to consider.

IBM is also showcasing at RSNA 2016 its ecosystem approach to innovation, including the global Watson Health medical imaging collaborative and work with Siemens Healthineers to introduce Population Health Management solutions worldwide. For more information about IBM’s presence at RSNA 2016, visit the Merge web site and follow @MergeHealthcare for #RSNA16 updates throughout the conference.  

The Watson Health Imaging and Merge demonstrations are cognitive healthcare works-in-progress in Booth 2538 in South Hall A.

 
About IBM Research

For more than seven decades, IBM Research has continued to define the future of information technology with more than 3,000 researchers in 12 labs located across six continents. Scientists from IBM Research have produced six Nobel Laureates, 10 U.S. National Medals of Technology, five U.S. National Medals of Science, six Turing Awards, 19 inductees in the National Academy of Sciences and 20 inductees into the U.S. National Inventors Hall of Fame. For more information about IBM Research, visit www.research.ibm.com. 
 
About IBM Watson Health

Watson is the first commercially available cognitive computing capability representing a new era in computing. The system, delivered through the cloud, analyzes high volumes of data, understands complex questions posed in natural language, and proposes evidence-based answers. Watson continuously learns, gaining in value and knowledge over time, from previous interactions. In April 2015, the company launched IBM Watson Health and the Watson Health Cloud platform. IBM Watson Health is helping to improve the ability of doctors, researchers and insurers to innovate by surfacing insights from the massive amount of personal health data being created and shared daily. The Watson Health Cloud can mask patient identities and allow for information to be shared and combined with a dynamic and constantly growing aggregated view of clinical research and social health data.  For more information on IBM Watson, visit: ibm.com/watson. For more information on IBM Watson Health, visit: ibm.com/watsonhealth.

 
Resources 

• IBM Research Blog Post