Intelligent Machines Are Changing Healthcare: Why Man and Machine Should Be Friends

How intelligent machines are empowering clinicians to deliver faster, higher quality care

Images from the Vivid E95

Intelligent machines are all around us – they answer our questions, turn on our lights, and help us navigate to our next destination. Put simply, intelligent machines make everyday life more convenient. But, what many people do not realize, is that this convenience is made possible in many ways thanks to Artificial Intelligence (AI).

When AI is put into the context of automating our thermostat, recommending a movie, or translating our voice into a text, the technology isn’t met with much objection. But when put in the context of healthcare, there tends to be skepticism, concern and sometimes even fear.

These doubts don’t reflect AI’s potential in the industry. If we embrace AI when it adds convenience, why wouldn’t we embrace it when it could help save lives?

By ingesting, processing and analyzing massive volumes of data at epic speeds, AI-powered solutions can support a variety of critical healthcare functions – from real-time medical condition assessment to point-of-care interventions and predictive analytics for clinical decision-making. For patients, these intelligent machines could mean lower radiation doses, faster exam times and more confident diagnoses.

That’s why GE Healthcare and NVIDIA are partnering to bring the most sophisticated AI to GE Healthcare’s 500,000 imaging devices globally, starting with ultrasounds and CT.

“AI is not a doctor. AI is not a cure. AI is a tool – a means to an end – increasingly embedded in everything for the benefit of the patient,” said Keith Bigelow, General Manager of Analytics at GE Healthcare.

Among the devices to first be embedded with the latest AI technology is GE Healthcare’s Vivid™ E95 4D cardiovascular ultrasound, which uses NVIDIA GPUs to provide fast, accurate visualization and quantification while streamlining workflows across the cSound™ imaging platform. NVIDIA GPUs accelerate reconstruction and visualization of blood flow and improve 2D and 4D imaging for Echo Lab and Interventional deployments.

Images from the Vivid E95

“We introduced the Vivid E95 with cSound to address the challenge of inconclusive exams, which can result in additional testing and increased costs,” says Erik Steen, chief engineer at GE Healthcare. “This advanced tech allows cardiologists to look at the heart from an entirely new perspective and see subtle differences in the heart tissue that was previously not possible”.

In the case of the LOGIQ™ E10, this ultrasound acquires and reconstructs an unprecedented amount of data in real-time to create focused images that segment lesions and identify vessels. This could lead to an earlier diagnosis and a better outcome for the patient. With advanced NVIDIA GPU technology, the LOGIQ™ E10 acquires data in a similar way to an MRI or CT system, enabling 48 times the data throughput and 10 times the processing power of previous systems. The cSound™ Architecture is so powerful that it can process an amount of data equivalent to playing two entire DVDs in just one second.

Images from the LOGIQ E10

Imaging devices are becoming smarter, and with it, clinicians can become more efficient, focused and confident in decision making. Man plus machine has delivered convenience in many aspects of our lives. Now, we have the opportunity to embrace its ability to deliver positive outcomes for patients around the world.

Erik Steen and Keith Bigelow will present on deep learning and how GE is accelerating algorithm development by building a platform on top of the NVIDIA GPU Cloud at the GPU Technology Conference on March 27, 2018.