UPDATED 10:55 EDT / APRIL 12 2024

Madhu Jahagirdar, vice president of cloud, technology and product at DeepHealth and Kamal Puri, senior vice president at Persistent Systems Ltd. discuss how AI is transforming healthcare with theCUBE at a special Persistent event at Google Cloud Next 2024. AI

DeepHealth aims to transform radiology through AI-fueled technology

Navigating the healthcare system can often be slow and painful, 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 on which we are building all of the workspaces to drive now radiologist efficiency, clinical outcome for radiologists, efficiency for technologist, and also for front desk, contact center and all of that,” said Madhu Jahagirdar (pictured left), vice president of cloud, technology and product at DeepHealth. “Ideally, this becomes a one stop shop for entire radiology business.”

Jahagirdar and Kamal Puri (pictured right), senior vice president at Persistent Systems Ltd., a partner of Google Cloud, spoke with theCUBE Research’s executive analyst John Furrier at the “Accelerating Innovation With Persistent” event, during an exclusive interview on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how DeepHealth’s collaboration with Persistent is changing how the healthcare industry operates. (* Disclosure below.)

Revolutionizing healthcare with AI

DeepHealth is a subsidiary of the radiology firm Radnet Inc. that focuses on informatics for cancer screening, diagnostics, precision medicine and oral healthcare. The company has been incorporating AI into its operating system with powerful results, according to Jahagirdar.

“There are a lot of AI companies building a lot of AI algorithms. But what probably they miss the mark is, AI should solve end-to-end workflow problems in healthcare,” he said. “What RadNet has done is taken this algorithm built in-house with our experts and actually have made what we call a flagship program today called Enhanced Breast Cancer Detection.”

One example of a DeepHealth OS use case is employing AI to detect a patient’s likelihood for a malignant tumor. The results can be communicated to any radiologist, even ones who do not specialize in the cancer being scanned.

“With the lack of … radiologists in the industry, a general radiologist can use this AI and actually read it as good as … an expert radiologist in mammo,” Jahagirdar said.

With healthcare, security is crucial. DeepHealth’s partnership with Persistent and Google Cloud helps keep its data secure, whether on-premises or in the cloud. Security breaches continue to be an ongoing issue in healthcare, affecting as many as 13 million individuals, according to Puri.

We want to expand [security] to all the clouds that we are operating in, take the best of breed, whether it is a model from working on Azure or Google Cloud or on-prem on a data center,” Puri said. “We want to have the same security posture across the board.”

It is unlikely that DeepHealth, or the healthcare industry at large, will migrate completely to the cloud any time soon, so the company is focused on a seamless blending of cloud and on-prem data centers.

“If the expectation is that I want to move all those images to cloud, it might be a not practical thing. But Google now provides [the] ability using … Kubernetes Enterprise edition to basically connect on-prem Kubernetes and our cloud Kubernetes and then drive the same outcome regardless of where the data is,” Jahagirdar said.

DeepHealth’s implementation of its services may be in the early stages, but Jahagirdar already sees numerous possibilities. Radiologists typically use many different vendors and tools to read a patient’s image scan, but with AI, that complexity could be eliminated.

“We’ll give you one backbone on which you’ll get one user experience to be able to drive an outcome,” Jahagirdar said.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the “Accelerating Innovation With Persistent” event:

(* 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 content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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