What You Should Know:
- Israeli deep-learning medical imaging analytics startup Zebra-Med secures its fifth FDA clearance vertebral compression fractures AI solution for availability in the U.S.
- The AI solution will help health providers close the COVID-19-induced care gaps by identifying more patients at risk of osteoporosis, also known as the “silent killer,” costing over $52B in the U.S. alone.
- Zebra-Med is one of the first companies in the industry to provide an AI
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Impact of Deep Learning in Healthcare | AI |ML | News, Analysis, Insights - HIT Consultant
FDA Grants Eko Emergency Use Authorization for Low Ejection Fraction AI
What You Should Know:
- The FDA granted Emergency Use Authorization to Eko for an ECG-based algorithm that screens for low ejection fraction, as part of an assessment of cardiac complications and co-morbidities associated with COVID-19.
- This ECG-based deep learning algorithm, developed on a large clinical dataset in collaboration with the Mayo Clinic, can help efficiently identify signs of possible heart failure in patients.
Eko, a digital health
company building
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Intel, UPenn Form AI Initiative to Identify Brain Tumors via Secure Data
What You Should Know:
- To coincide with brain tumor awareness month in May, today Intel and the Perelman School of Medicine at the University of Pennsylvania (UPenn) announced an NIH-funded program that uses AI to identify brain tumors while protecting patient data.
- Funded by the National Institutes of Health, UPenn and these health care institutions will use Intel’s federated learning technology to produce a new AI model that is trained on the largest brain tumor dataset to
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3 AI Trends for 2020: Moving Beyond Dazzle to High-Impact Collaboration
From the first artificial skin to driverless cars that navigate busy streets with ease, 2019 brought a dazzling array of artificial intelligence (AI) discovery. In 2020, the progress made toward AI-fueled collaboration will be as critical as AI innovation—especially in healthcare.
We’ve reached a point where AI has proven its utility. In radiology, for example, AI is well-oriented to interpret diagnostic imaging studies, with FDA approval given to AI algorithms that diagnose a collapsed lung or
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10 Factors Radiologists Should Consider When Selecting AI Vendors
With over 150 independent software vendors developing machine learning solutions for medical imaging, sorting through the plethora of options to select vendors is a challenge. Here are 10 factors radiologists should consider (and questions they should ask) before partnering with vendors providing AI solutions for medical imaging.
1. Clinical Relevancy
The foremost consideration for healthcare providers adopting AI into their clinical workflow is relevancy. Does the AI solution truly
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Artificial Intelligence’s Need for Health Data – Finding An Ethical Balance
With doctors’ time in short supply, one area in which AI-driven tools could help transform healthcare is by increasing diagnostic accuracy. AI-driven diagnostic tools, especially in areas like cardiology, have the potential to save the healthcare system money and most importantly save lives. They are developed using incomprehensibly large datasets and can, therefore, discover patterns that are invisible to the human eye.
For example, echo-based tools combined with deep clinical insight,
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Intelerad, Zebra Medical Vision Partner to Accelerate AI Adoption for Radiologists
- Intelerad and Zebra Medical Vision join forces to accelerate AI adoption through newly released Intelerad’s Odyssey workflow solution.- The partnership will further help radiologists increase productivity, improve clinical decisions and provide high-quality care globally.After expanding its “all-in-one” AI bundle, which includes 3 FDA 510(k) clearances, the deep learning medical imaging analytics company, Zebra Medical Vision, is now announcing a new joint partnership
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MaxQ AI Integrates With Philips CT System for Hospitals & Radiology Departments
- MaxQ AI’s ACCIPIO® ICH and stroke software will be integrated on Philips CT systems and will be available to hospitals and radiology departments throughout the U.S. and E.U.MaxQ AI, an Israeli-based medical diagnostic AI company announced that the company’s Accipio intracranial hemorrhage (ICH) and stroke software will be integrated on Philips’ computed tomography (CT) systems. MaxQ AI will be demonstrating the company’s full suite of Accipio solutions during the upcoming Radiological Society
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UCSF Launches Center for Intelligent Imaging to Accelerate AI Adoption in Radiology
- UC San Francisco launches Center for Intelligent Imaging named ci2 to accelerate the adoption of artificial intelligence (AI) in radiology to improve patient diagnoses and care.
- ci2 researchers will work with NVIDIA Corp. to build infrastructure and tools focused on enabling the translation of AI in clinical practice.
- The center will serve as a hub for the multidisciplinary development of AI in imaging to meet unmet clinical needs and provide a platform to measure the impact and
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AI in Healthcare Is Exciting, However, It Is No Reason to Overpay For It
Eventually, many conversations about artificial intelligence (AI) include HAL.
An acronym for Heuristically programmed ALgorithmic computer, HAL played a prominent and disconcerting role in Stanley Kubrick’s mind-bending 1968 film 2001: A Space Odyssey. In the film, sentient computer HAL learns that the humans suspect it of being in error and will disconnect it should that error be confirmed. Of course, HAL is having none of that, and terror ensues.
So influential was
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