Archive for Month: April 2018

EchoNous Hires Two Top Machine Learning Scientists To Accelerate Ongoing Development of Intelligent Medical Tools

April 19 | 2018
Forerunners in natural language processing and deep learning now focused on building transcendent new intelligent medical tools for heart and lung assessment

EchoNous, a developer of intelligent medical tools, announces the hiring of Dipankar Ray, PhD and Allen Lu, PhD – two leading minds in modern machine learning to bolster the execution of the company’s mission to solve everyday problems in healthcare through converging artificial intelligence (AI) methods and extreme ultrasound miniaturization. The addition of Ray and Lu continues EchoNous’ build-out of a world-class team of AI engineers to complement the company’s existing expertise in the development of highly miniaturized medical ultrasound technologies.

“For ultrasound to fulfill its potential and become the ubiquitous tool in medicine that it deserves to be, we need to solve for two elements: access and ease-of-use. We have been building our team around these two pillars. Having already built a world-class team in extreme ultrasound miniaturization to execute on our mission of ultimate access to high-performance ultrasound-based clinical tools, we are now intensifying our efforts on building a world-class AI team to execute on our ease-of-use mission,” said Niko Pagoulatos PhD, EchoNous COO. “Modern AI methods based on machine learning, such as deep learning, can revolutionize ease-of-use in ultrasound and dramatically reduce the learning curves associated with clinicians being able to routinely and confidently use ultrasound to solve common everyday problems in healthcare. We are excited to have Dipankar and Allen join us in our mission of taking ease-of-use in ultrasound to unprecedented levels and allowing for its ubiquitous use in medicine.”

Dipankar Ray has more than 10 years of industry experience in building Machine Learning and Natural Language Processing (ML/NLP) systems, primarily working on semantic understanding of text. At Microsoft, he was a Senior Applied Scientist in Bing Ads, where he was a key member of the core team that helped drive Bing to profitability including as much as 40% year-over-year growth from 2012 to 2016. Most recently, he was Vice President of ML/NLP at Saykara, a Madrona Venture Group-funded startup in Seattle, where he led efforts to build a voice-based assistant for doctors.

As a machine learning researcher at Yale University, Allen Lu developed deep learning-based methods for automated cardiac motion analysis algorithms based on 3D ultrasound images while under the tutelage of Dr. James Duncan, a renowned expert in the analysis of biomedical imaging. Previously, while at IBM’s Almaden Research Center in support of the company’s Watson Health Imaging project, he developed AI algorithms designed to detect cardiac abnormalities. Allen holds a Bachelor of Science in Electrical Engineering and Mathematical Economic Analysis from Rice University and is completing a PhD in Biomedical Engineering at Yale.

“Having spent more than a decade as a key engineer for one of the global leaders in machine learning, Dipankar brings a unique AI skill set, including natural language processing, that will help us enable bold new possibilities in frictionless usability and clinical expansion with ultrasound technologies,” said EchoNous CEO Kevin Goodwin. “Allen combines a career in breakthrough research in cardiac imaging and the development of machine learning algorithms to bring a highly specialized and unmatched knowledge base to our team.”

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EchoNous – Signostics to Provide AONE Attendees a Hands-On Preview Of New Vein Finding Tool at 2018 AONE Conference

April 10 | 2018
Pending FDA 510k clearance, new vein finding tool designed to help nurses solve common everyday problems in healthcare

EchoNous, the parent company of Signostics, is applying the emerging field of artificial intelligence (AI) with the extreme miniaturization of ultrasound to solve common everyday problems in health care. At the 2018 AONE Conference from April 12-15 in Indianapolis, the company will be demonstrating the EchoNous Vein1 – a new, best-in-class tool designed to improve first-time peripheral IV (PIV) placement.

The soon-to-be released EchoNous Vein is designed specifically for nurses inserting peripheral IV catheters by providing an immediate and clear image of veins using just two-button controls. The easy-to-use device also includes optimized settings for use with adults and pediatrics.

As one of the most commonly performed minimally-invasive procedures, and the gateway to further treatment, PIV placement can be challenging due to chronic illness, chemotherapy, obesity and drug abuse, with first-attempt IV catheter insertions failing in up to 26% of adults and 54% of children according to an article published in the Journal of Nursing Infusion2.

“We believe our new vein finding tool can turn around the adult and pediatric trends for IV insertion failures and help contribute to improving performance on HCAHPS patient satisfaction surveys,” said Goodwin. “We are enthusiastic about attending AONE and meeting nurse executives face to face about their concerns.

2018 AONE attendees are encouraged to learn more about the EchoNous Vein by visiting Booth #1345 during the conference.

1 This device is currently 510(k) pending. The information contained herein is provided for informational purposes only. The device is not for sale and we are not currently accepting any orders.

2 Helm, Robert E., et al. Accepted but Unacceptable: Peripheral IV Catheter Failure. Journal of Infusion Nursing. 2015 May-Jun;38(3):189-203.

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