Fovia Launches FAST AI Suite for PACS

first_imgTechnology | Advanced Visualization | December 05, 2018 Fovia Launches F.A.S.T. AI Suite for PACS Software allows any artificial intelligence results to be seamlessly integrated into PACS and universal viewers News | PACS | August 08, 2019 NetDirector Launches Cloud-based PDF to DICOM Conversion Service NetDirector, a cloud-based data exchange and integration platform, has diversified their radiology automation options… read more News | Artificial Intelligence | August 08, 2019 Half of Hospital Decision Makers Plan to Invest in AI by 2021 August 8, 2019 — A recent study conducted by Olive AI explores how hospital leaders are responding to the imperative read more Technology | Cybersecurity | August 07, 2019 ScImage Introduces PICOM ModalityGuard for Cybersecurity ScImage Inc. is bridging the gap between security and functionality with the introduction of the PICOM ModalityGuard…. read more Related Content News | CT Angiography (CTA) | August 06, 2019 Artificial Intelligence Improves Heart Attack Risk Assessment When used with a common heart scan, machine learning, a type of artificial intelligence (AI), does better than… read more News | Magnetic Resonance Imaging (MRI) | August 06, 2019 Canon Medical Introduces Encore Orian MR Upgrade Program Canon Medical Systems USA Inc. is helping to provide low-cost patient care solutions for its customers with the launch… read more News | Medical 3-D Printing | August 08, 2019 RSNA and ACR to Collaborate on Landmark Medical 3D Printing Registry The Radiological Society of North America (RSNA) and the American College of Radiology (ACR) will launch a new medical… read more Technology | Radiographic Fluoroscopy (RF) | August 09, 2019 Shimadzu Medical Systems Receives FDA 510(k) for FluoroSpeed X1 RF System Shimadzu Medical Systems USA, a subsidiary of Shimadzu Corp., announced they have received U.S. Food and Drug… read more News | PACS | August 09, 2019 Lake Medical Imaging Selects Infinitt for Multi-site RIS/PACS Infinitt North America will be implementing Infinitt RIS (radiology information system)/PACS (picture archiving and… read more December 5, 2018 — Fovia Inc. recently announced the release of a new artificial intelligence (AI) visualization platform, F.A.S.T. AI Suite. F.A.S.T. AI Suite bridges the gap between the thousands of AI algorithm developers seeking efficient distribution, and the many picture archiving and communication system (PACS) and universal viewer companies seeking a streamlined way to visualize and deliver meaningful AI results to radiologists and physicians.F.A.S.T. AI Suite provides PACS and universal viewer companies an innovative way to integrate and visualize critical AI results seamlessly within existing radiology workflows. Using the robust set of zero-footprint developer tools from Fovia’s F.A.S.T. Cloud Suite, companies can quickly build AI-driven diagnostic imaging workflows within their own visualization workstations and products.Fovia showcased the visualization of results from numerous radiology AI vendors in a variety of results formats (e.g., DICOM Structured Report, DICOM Key Image, DICOM GSPS and segmentation objects) at the 104th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Nov. 25-30 in Chicago. In one convenient interface, radiologists will have instant access to AI results from many third-party vendors. Radiologists will be able to easily visualize, accept, reject, modify, measure, annotate and archive, as appropriate, these results by using the comprehensive workflows and tools powered by Fovia’s F.A.S.T. AI Suite.For more information: www.fovia.com FacebookTwitterLinkedInPrint分享 Technology | Neuro Imaging | August 07, 2019 Synaptive Medical Launches Modus Plan With Automated Tractography Segmentation Synaptive Medical announced the U.S. launch and availability of Modus Plan featuring BrightMatter AutoSeg. This release… read more News | Artificial Intelligence | August 13, 2019 Artificial Intelligence Could Yield More Accurate Breast Cancer Diagnoses University of California Los Angeles (UCLA) researchers have developed an artificial intelligence (AI) system that… read more last_img read more

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