How Can Companies Bring New AI Software Medical Devices to Market?

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In support of the upcoming SLAS_org conference and exhibition, we speak to Guy Starbuck, one of the co-founders at aiq_solutions, about how we can utilize AI technology to bring new medical devices to market. Read the full interview below!👇

Sponsored Content by AIQ SolutionsFeb 14 2023 insights from industryGuy StarbuckCo-Founder and CTOAIQ Global For SLAS US 2023, we speak to Guy Starbuck, one of the co-founders at AIQ Global, about how we can utilize AI technology to bring new medical devices to market.

You are the Co-Founder and CTO of AIQ Global, a company enabling clinicians to make better-informed therapy decisions. Please can you tell us more about AIQ and its mission? AIQ Global is changing how clinicians manage complex diseases, such as metastatic cancer, to extend and improve patients’ lives. AIQ’s software technology uses information from radiological scans to assess how individual patients will respond to specific treatments.

Because our technology is not a diagnostic device, we must refer to the spots detected on scans as “regions of interest” rather than “lesions.” AIQ’s TRAQinform IQ technology automatically identifies and measures each region of interest on individual scans. We then can automatically match these regions of interest between scans and measure their change over time.

The third challenge is making the device available to physicians as part of their standard set of tools. Our product, TRAQinform IQ, is a cloud-based system that processes 3D medical images such as PET/CT scans. The scans reside in the hospital, so we need to integrate with hospital networks for data transfer. In addition, we need to integrate with electronic medical record systems to make it easy for physicians to access our reports.

Can you tell us more about your TRAQinform platform and its applications within healthcare? TRAQinform IQ is a software medical device hosted in a HIPAA-compliant, secure cloud environment. The technology applies AI and advanced image processing algorithms to standard-of-care medical images to provide clinicians with comprehensive reports that they can use to tailor treatment regimens and optimize outcomes.

 

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