DeepHealth Aims to Transform Radiology Through AI-powered Technology - Latest Global News

DeepHealth Aims to Transform Radiology Through AI-powered Technology

Navigating the healthcare system can often be slow and arduous, but with the power of artificial intelligence and the cloud, DeepHealth Inc. hopes to change that for millions of patients.

“DeepHealth [Operating System] is … an ecosystem that we build all areas of work on to increase efficiency for radiologists, clinical outcomes for radiologists, efficiency for technologists and also the front desk, the contact center and all of that,” he said Madhu Jahagirdar (Pictured left), vice president of cloud, technology and product at DeepHealth. “Ideally, this will become a one-stop shop for the entire radiology business.”

Jahagirdar and Kamal Puri (Pictured right), Senior Vice President at Persistent Systems Ltd., a Google Cloud partnerspoke to theCUBE Research’s lead analyst John Furrier At the Event “Accelerating Innovation with Persistent”., during an exclusive interview on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how DeepHealth’s collaboration with Persistent is changing the way the healthcare industry works. (*Disclosure below.)

Revolutionizing healthcare with AI

DeepHealth is a subsidiary of radiology company Radnet Inc. focused on informatics for cancer prevention, diagnostics, precision medicine and oral health. According to Jahagirdar, the company has integrated AI into its operating system with impressive results.

“There are many AI companies developing many AI algorithms. But what they’re probably missing is that AI should solve end-to-end healthcare workflow problems,” he said. “What RadNet has done is taken this algorithm developed with our experts and actually developed what we now call a flagship program called Enhanced Breast Cancer Detection.”

An example of a use case for DeepHealth OS is using AI to detect the likelihood of a malignant tumor in a patient. The results can be shared with any radiologist, even those who do not specialize in the cancer being examined.

“Because there is a shortage of … radiologists in the industry, a general radiologist can use this AI and actually read it just as well as … an experienced radiologist in Mammo,” Jahagirdar said.

Safety is critical in healthcare. DeepHealth’s partnership with Persistent and Google Cloud helps ensure data security whether on-premises or in the cloud. Security breaches continue to be an ongoing healthcare problem, affecting up to 100,000 people 13 million peoplesaid Puri.

We want to expand [security] Take the best of breed for all the clouds we operate in, be it a model of working on Azure or Google Cloud or on-premises in a data center,” Puri said. “We want to have the same security situation everywhere.”

It’s unlikely that DeepHealth or the entire healthcare industry will fully migrate to the cloud any time soon, so the company is focused on seamlessly connecting cloud and on-premises data centers.

“If the expectation is that I want to move all of these images to the cloud, that may not be practical. But Google is now providing [the] Ability to … use Kubernetes Enterprise Edition to essentially connect on-prem Kubernetes and our cloud Kubernetes and then achieve the same result regardless of where the data resides,” Jahagirdar said.

While DeepHealth’s implementation of its services is still in its early stages, Jahagirdar already sees numerous opportunities. Radiologists typically use many different vendors and tools to interpret a patient’s image scan, but AI could eliminate this complexity.

“We give you a backbone on which you get a user experience to get a result,” Jahagirdar said.

Here’s the full video interview, part of SiliconANGLE and theCUBE Research’s coverage of the Event “Accelerating Innovation with Persistent”.:

(*Disclosure: TheCUBE is a paid media partner for the Accelerating Innovation With Persistent event. Neither Persistent Systems Ltd. nor other sponsors have editorial control over theCUBE or SiliconANGLE content.)

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