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Artificial Intelligence

Image: Scientists used AI techniques and big data to develop an algorithm capable of recognizing the signatures of dementia two years before its onset, using a single amyloid PET scan of the brain (Photo courtesy of McGill University).

Artificial Intelligence Can Predict Dementia in Advance

Scientists from the Douglas Mental Health University Institute’s Translational Neuroimaging Laboratory at McGill University have used artificial intelligence techniques and big data to develop an algorithm capable of recognizing the signatures of dementia two years before its onset, using a single amyloid PET scan of the brain of patients at risk of developing Alzheimer’s disease. More...
07 Sep 2017
Image: Newly developed technology is designed to retrieve similar cases (Photo courtesy of Fujitsu).

AI Technology Retrieves Similar Cases in CT Database

Fujitsu Laboratories Ltd., in collaboration with Fujitsu R&D Center Co., Ltd., has developed an AI-based technology to retrieve similar cases of abnormal shadows expanding in a three-dimensional manner from a computed tomography (CT) database of previously taken images. The technology automatically separates the complex interior of the organ into areas through image analysis, and uses machine learning to recognize abnormal shadow candidates in each area. By dividing up the organ spatially into periphery, core, top, bottom, left and right, and focusing on the spread of the abnormal shadows in each area, it becomes possible to view things in the same way doctors do when determining similarities for diagnosis. More...
07 Sep 2017
Image: Illumeo integrates islands of patient information and enables dynamic and tailored output and more informed and meaningful discussion (Photo courtesy of Philips Healthcare).

Intelligent Software Improves Interface with Medical Images

Royal Philips has introduced the Illumeo clinically intelligent software that redefines and enhances how radiologists work with medical images. Using its built-in intelligence, Illumeo records the radiologists’ preferences and adapts the user interface to assists the clinician by offering tool sets and measurements driven by the understanding of the clinical context. The new imaging and informatics technology aims to enable faster diagnoses, lead to well informed care decisions and improve patient care. It can be integrated with existing systems such as Philips IntelliSpace PACS and will eventually extend its workspace efficiency beyond radiology to other domains. More...
07 Sep 2017
Image: Researchers developed a machine-learning approach named “ICU Intervene” to ascertain the types of treatments required for various symptoms (Photo courtesy of MIT).

Researchers Find Machine Learning Can Improve Patient Care

A team of researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a machine-learning approach named “ICU Intervene” which uses large amounts of intensive-care-unit (ICU) data, including vitals, labs, notes and demographics, to ascertain the types of treatments required for various symptoms. Using “deep learning,” the system makes real-time predictions by learning from earlier ICU cases to offer suggestions for critical care, along with providing the reasoning for the decisions. More...
07 Sep 2017


 The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.
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