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ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.
02 Nov 2020 - 06 Nov 2020
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05 Nov 2020 - 07 Nov 2020
16 Nov 2020 - 19 Nov 2020
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Industry News


New AI Tool Could Radically Improve Diagnosis and Treatment of Breast Cancer

 Researchers at the University of Auckland (Auckland, New Zealand) are combining machine learning and state-of-the-art imaging to develop an automated analysis technique that will radically improve the diagnosis and treatment of breast cancer. The researchers received USD 1.05 million in philanthropic funding to advance research in which they have developed biomechanical analysis techniques that automatically merges information from different medical images of the breast. This will provide clinicians with more information about any abnormality, as suspicious lesions and warning signs for cancer can appear differently in the various types of images. More...
27 Dec 2019

FDA Public Workshop to Discuss Emerging Applications of AI in Radiological Imaging

 The US Food and Drug Administration {(FDA) Silver Spring, MD, USA} has announced a public workshop entitled "Evolving Role of Artificial Intelligence in Radiological Imaging" aimed at discussing emerging applications of Artificial Intelligence (AI) in radiological imaging, including AI devices intended to automate the diagnostic radiology workflow as well as guided image acquisition. More...
26 Dec 2019
Sun Nuclear/Gammex
Image: AI-Assisted Annotation (Photo courtesy of NVIDIA)

NVIDIA CLARA and Fovia Ai to Bring AI Annotation Tools to Physicians Everywhere

 Fovia Ai, Inc. (Palo Alto, CA, USA), a leader in advanced visualization technology, has announced that it is working with NVIDIA (Santa Clara, CA, USA) to integrate Fovia Ai's artificial intelligence technology with NVIDIA AI-Assisted Annotation, powered by NVIDIA Clara. The integration will accelerate the delivery of AI-assisted workflows to radiologists by leveraging Fovia's High Definition Volume Rendering installed base in leading PACS viewers and nearly two decades of radiology integration experience. More...
26 Dec 2019
Image: Caduceus smart glasses (Photo courtesy of Taiwan Main Orthopaedics Biotechnology)

New Smart Surgical Glasses Allows Surgeons to See Through Patient's Body

 Taiwan Main Orthopaedics Biotechnology (Taichung, Taiwan) has developed smart surgical glasses which combine mixed reality technology with surgical navigation that allow surgeons to see through a patient's body and visualize a 3D model of the anatomy of the patient's vascular and nervous systems. More...
26 Dec 2019

Fujifilm to Acquire Hitachi’s Diagnostic Imaging-related Business

 FUJIFILM Corporation (Tokyo, Japan) has entered into an agreement with Hitachi, Ltd. (Tokyo, Japan) to acquire its Diagnostic Imaging-related business to further expand its Healthcare business. By applying its proprietary image processing and artificial intelligence (AI) technologies to Hitachi’s extensive product lineup, Fujifilm aims to further expand its Medical Systems business and create new values to contribute to improve the quality of medical care. More...
24 Dec 2019
Image: Attractive Opportunities in the Diagnostic Imaging Services Market (Photo courtesy of MarketsandMarkets)

Global Diagnostic Imaging Services Market to Reach USD 693.4 Billion by 2024

 The global diagnostic imaging services market is projected to grow at a CAGR of 5.1% from USD 539.7 billion in 2019 to USD 693.4 billion by 2024, driven mainly by the rapidly rising geriatric population and subsequent increase in the prevalence of associated diseases, growing awareness about early disease detection and the widening scope of clinical applications. However, the high cost of diagnostic imaging systems and low reimbursement structure for outpatient imaging facilities are likely to restrain the market growth to some extent in the coming years. More...
24 Dec 2019

AI Tool Performs as Good as Experienced Radiologists in Interpreting Chest X-rays

 A team of researchers from Google Health (Palo Alto, CA, USA) have developed a sophisticated type of artificial intelligence (AI) that can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists. Their findings, based on a type of AI called deep learning, could provide a valuable resource for the future development of AI chest radiography models. More...
23 Dec 2019
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MedImaging Industry News channel updates the reader on mergers and takeovers, on cooperative agreements and on trends in the healthcare imaging industry worldwide.
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