![]() ![]() Initially, the MGH Clinical Data Science Center will focus on the fields of radiology and pathology - which are particularly rich in images and data - and then expand into genomics and electronic health records. Using AI, physicians can compare a patient's symptoms, tests and history with insight from a vast population of other patients. This work will one day benefit millions of people by extending the capabilities of physicians with an incredibly powerful new tool." "There could be no more important application of this new capability than improving patient care. "Deep learning is revolutionizing a wide range of scientific fields," said Jen-Hsun Huang, CEO and co-founder, NVIDIA. To process this massive amount of data, the center will deploy the NVIDIA® DGX-1™ - a server designed for AI applications, launched earlier today at the GPU Technology Conference - and deep learning algorithms created by NVIDIA engineers and Mass General data scientists. The hospital has a database containing some 10 billion medical images. The center will train a deep neural network using Mass General's vast stores of phenotypic, genetics and imaging data. Massachusetts General Hospital - which conducts the largest hospital-based research program in the United States, and is the top-ranked hospital on this year's US News and World Report "Best Hospitals" list - recently established the MGH Clinical Data Science Center in Boston. Not only was it cool having some control over the environment, it also eased the feeling of intimidation.SAN JOSE, CA–(Marketwired – Apr 5, 2016) – GPU Technology Conference - NVIDIA (NASDAQ: NVDA) today announced that it is a founding technology partner of the MGH Clinical Data Science Center, which aims to advance healthcare by applying the latest artificial intelligence techniques to improve the detection, diagnosis, treatment and management of diseases. But the patient really liked the “big window” in the ceiling, and the staff tuned the ambient lighting to his favorite color. We were told the story of a child who was scared to get a CT scan, upset to lie on that big, sinister table, which looked like something off an Imperial Starfighter. Staff and patients alike testify to the effectiveness of the ceiling panels. For patients who must lie motionless on their backs in these windowless rooms, we designed a backlit ceiling panel that simulates a view to the sky above. We applied carefully selected finishes and perimeter lighting with variable color schemes to create calming environments, with MRI-safe video screens to provide a pleasant distraction. The challenge is less technical, more experiential: to reduce patient anxiety. The diagnostic imaging rooms employ more conventional set-ups-a single, fixed X-ray or MRI/CT scanner. Durable, modular, stainless steel wall panels provide a quick means to incorporate new connections and equipment while minimizing downtimes. Finishes were chosen not only for infection control but also to identify equipment functions through the strategic use of color and pattern. With space at a premium, we designed a compact control “cock-pit.” Medical gas access points, storage cabinets and equipment enclosures were detailed to achieve a sleek, streamlined environment and the most efficient use of space. Our design team worked closely with the IR Department to achieve seamlessness and integration of clinical procedures. To coordinate design, construction, installation and operations, we led a highly collaborative process with MGH’s Planning & Construction Department and IR Department. It has a lot of moving parts, many of them large and expensive. Interventional Radiology enlists a range of imaging technologies-including X-ray fluoroscopy, ultrasound, computed tomography (CT) and magnetic resonance imaging (MRI)-to guide high-precision surgical operations. Collaborative Design Process: Interventional Radiology ![]()
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