Jan 21, 2021

New medical image segmentation tool uses AI to reduce errors

AI
medical imaging
ct scans
surgery
Leila Hawkins
2 min
New medical image segmentation tool uses AI to reduce errors
RSIP Vision have announced the launch of a new tool to help deliver precise surgical measurements...

A new AI-driven medical imaging tool has launched with the capacity to segment and measure areas of interest to help with surgical decisions and diagnosis. 

RSIP Vision, a medical imaging company specialising in AI and computer vision solutions have created the tool to detect objects of interest and their boundaries quickly and automatically, with the aim of helping to make surgical and diagnostic measurements easier and more accurate. 

The tool has been designed to minimise the amount of work required from the clinician, avoiding human factors like fatigue and misreads that can lead to mistakes. 

The AI-based software uses a series of algorithms to detect and focus on a specific area, delivering an accurate 3D visualization and analysis of the patient's anatomy. The segmentation creates boundaries around the image for better viewing and performs automatic measurements. Physicians and researchers can receive consistent, repeatable measurements on the dimensions and characteristics of a specific area. 

The software can be used for X-rays, CT scans, MRI scans, surgical robotics, and pathology; additionally it can be integrated in medical device software to be used by multiple applications, without the need to collect and train different machine learning models. 

“Distinguishing and measuring organs, lesions, and other areas of interest in biopsy and pre-surgical planning can be tedious work, which is generally assigned to a specific employee or technician, or even a physician” Ron Soferman, Founder & CEO at RSIP Vision explained. 

“Our new segmentation tool makes it easier to pinpoint specific points and boundaries in images, which in turn leads to greater accuracy during surgeries without being dependent on the capability and experience of a specific individual." 

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Jun 22, 2021

NeuTigers: edge AI in healthcare

edgecomputing
edgeAI
AI
prediction
3 min
We take a look at edge AI and how NeuTigers is driving this forward in healthcare

What is edge AI? 

Edge AI is essentially a combination of edge computing and artificial intelligence. Algorithms are processed locally - directly on a mobile device or server - rather than in the cloud. This reduces cost, computing power and energy requirements. There are also claims that edge AI is so fast it is possible to reach near real-time analytics

Edge AI devices include smart speakers, smart phones, laptops, robots, self-driven cars, drones, and surveillance cameras that use video analytics. 

Who is NeuTigers? 

NeuTigers is a spin-off company from Princeton University, formed in 2018 to apply edge AI and machine learning to solve challenges in healthcare, energy, productivity, and security. 

With offices in Princeton, NJ, the company is based at one of the top AI accelerator programs of FutureLabs in New York, and has also established a subsidiary in Nice, France.

How is NeuTigers applying edge AI to healthcare? 

The NeuTigers AI Technology Stack uses deep  neural networks that mimic how the human brain perceives and interprets the world. The company has developed the StarDeepTM Smart Health Platform for health monitoring and biomedical imaging, to improve the accuracy and speed of diagnosing diseases. 

NeuTigers say the platform has the potential to monitor and screen for thousands of conditions,  when used in combination with medical devices and  smart sensors already deployed in healthcare settings. 

Are there any real world examples? 

In January NeuTigers launched CovidDeep, a tool that predicts COVID-19 with more than 90% accuracy, using physiological data from a wristband along with blood pressure and blood oxygen readings. It then analyses the data and gives a prediction within two minutes. 

This week NeuTigers announced a new study to detect the early signs of  complications with sickle cell anaemia.  Conducted at a hospital in Paris, the research will begin by looking at changes to skin response, heart beat, sleep and temperature to predict an acute episode of sickle cell anaemia, and how this impacts on the patients’ disease conditions and quality of life. 

The second phase of the project is to expand with prospective studies across different sites in EU, Africa  and the US to explore the models' accuracy and clinical effectiveness. 

They say...

Adel Laoui, CEO and founder of NeuTigers, says: “The best way to deal with a crisis is to avoid it happening in the first place. We are now entering a new era where medical early warning systems have become a reality. 

“We are excited at the possibility of deploying a technology that can save lives of patients dealing with sickle cell anaemia. The potential of the StarDeep platform to dramatically improve patient outcomes while slashing some of the highest costs of healthcare makes it one of the most exciting developments in preventative personal medicine.”

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