- GE Healthcare awarded Food and Drug Administration’s 510(k) clearance of Critical Care Suite, an industry-first collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device.
- Algorithms help radiologists prioritize critical cases with a suspected pneumothorax – a type of collapsed lung – by immediately flagging critical cases to radiologists for triage, which could drastically cut the average review time from up to eight hours.
- Critical Care Suite offers
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Radiologist
AI vs. Humans: AI Solution Beats Stanford Radiologists in Chest X-ray Diagnostics Competition
JF Healthcare, a Nanchang, China-based medical diagnostic startup is the first organization in the world to beat Stanford University radiologists in a competition designed by the Stanford Machine Learning group to compare the capability of artificial intelligence (AI) to human experts in interpreting chest x-rays.Standard Chest X-ray Diagnostic Competition ResultsThe AI team from JF Healthcare recently achieved an average AUC score (a measure of diagnostic accuracy) of 0.926 and is currently
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Konica Minolta to Accelerate Commercialization of Dynamic Digital Radiography in US Market
Konica Minolta Healthcare Americas, Inc., a provider of medical imaging systems and healthcare IT, along with Shimadzu Medical Systems USA announced a collaborative agreement that will accelerate the commercialization of Dynamic Digital Radiography (DDR) in the US healthcare market. Konica Minolta, Inc. and Shimadzu Corporation collaborated on the development of DDR incorporating Konica Minolta's new advanced image processing and Shimadzu's RADspeed Pro radiographic imaging system.
The
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Can AI Transform Patient Care from Reactive Craft to Strategic Art?
Personalized Analytics is becoming essential in healthcare, stemming from the movement from fee-for-service to a value-based market. The need to preempt and prevent disease on a more personal level, rather than merely reacting to symptoms, has created a significant opportunity for machine learning-based applications. This “analytics of one” approach (using advanced mathematical models and artificial intelligence techniques) is already impacting several key areas:
1. Medical imaging is utilizing
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Analysis: Philips’ Evolution to a Pure-play Healthcare Technology Vendor
The last two-to-three years we have seen Philips complete its transformation into a pure-play healthcare technology vendor. It has reduced its interest in its remaining non-healthcare business Philips Lighting/Signify (now owning only a 16.5% share), made 16 healthcare technology acquisitions since the start of 2017 and organized its internal business units into three core healthcare technology segments, Personal Health, Diagnosis & Treatment and Connected Care. A few weeks ago, several of
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Medivis Granted FDA 510(k) Clearance for Surgical Augmented Reality Platform
Medivis, a New York City-based medical technology company harnessing augmented reality and artificial intelligence to advance surgical visualization has received 510(k) clearance for clinical use in the operating room by the U.S. Food and Drug Administration (FDA).Most medical procedures are performed relatively blindly, with surgeons having to reconstruct slices of 2D imaging data in the “mind’s eye” to make it actionable. Founded by neurosurgeon Osamah Choudhry, MD and radiologist Christopher
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Zebra Medical Vision Granted FDA 510k Clearance for AI Chest X-Ray Triage
Zebra Medical Vision, an Israli-based deep learning imaging analytics company, today announces that it has received FDA 510(k) clearance for HealthPNX – an AI-powered alert for pneumothorax (PNX), based on chest X-rays.FDA 510(k) Clearance DetailsReceived in May 2019, the FDA 510(k) clearance focuses on an AI alert for “stat” (urgent) findings of pneumothorax and demonstrates a promising potential to substantially reduce turnaround time and increase the radiologist’s confidence in making this
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Consumerization of Healthcare: Why Differentiation is Critical for Clinics
The consumerization of healthcare is upon us. As retail pharmacies expand their reach and giant tech companies such as Apple and Amazon enter the market, we are transitioning from patients to healthcare consumers with more options and more purchasing decisions to make.
Whether this shift will prove beneficial to overall health remains to be seen, but one thing is clear: patients are being faced with an increasing number of decisions to make that have immediate effects on health and wellbeing.
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4 Pillars of Value for AI in Medical Imaging
At ECR this year, there were over 25 independent software vendors (ISVs), many of them start-ups, showcasing artificial intelligence (AI) solutions for medical imaging within a dedicated space. Additionally, with established imaging vendors foraying into the AI space, what was once the hype is now in the early stages of market maturity, and, it appears, AI within medical imaging is here to stay.
The question has now shifted to what clinical value AI solutions can provide, rather than if AI is
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4 Barriers to Overcome Before AI in Medical Imaging Becomes Mainstream
The world market for artificial intelligence (AI) in medical imaging, comprising software for automated detection, quantification, decision support, and diagnosis, is forecasted to reach $2 billion by 2023, according to a new report from Signify Research, an independent supplier of market intelligence and consultancy to the global healthcare technology industry. The report, “Machine Learning in Medical Imaging – 2018 Edition” provides a data-centric and global outlook on the current and
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