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Dexcom Introduces AI-Powered Reports for Stelo Glucose Monitor, Offering Personalized Insights

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Dexcom has launched a new artificial intelligence feature for its Stelo continuous glucose monitor (CGM), giving users a more personalized view of how their meals, sleep, and activities affect their glucose levels. This AI-driven addition, which debuted on Tuesday, is part of Dexcom’s broader efforts to enhance user engagement and provide deeper insights into glucose management.

Stelo, an over-the-counter CGM that monitors real-time blood sugar levels by inserting a small sensor under the skin, was first introduced in August. Unlike traditional CGMs, Stelo is designed for adults who do not take insulin, opening up a new consumer market for the company. This latest feature aims to make Stelo more valuable and personalized for everyday users, with Dexcom focusing on enhancing its capabilities for a broader audience.

Jake Leach, Dexcom’s chief operating officer, emphasized that user feedback had driven the company’s decision to integrate more advanced AI features. “The No. 1 feedback we get is users want to see more,” Leach explained in an interview with CNBC. “They’re making an investment and wearing the product, and they want to be able to take the most advantage of all the data that they’re generating.” The new AI-generated reports reflect this need for deeper, actionable insights.

Dexcom is leveraging Google Cloud’s Vertex AI platform and its Gemini models to build the new AI features. These tools enable developers to synthesize diverse data types, a complex task in healthcare. The company is proceeding cautiously, ensuring the AI platform adds value without compromising the reliability of its core CGM products, which are essential for managing serious health conditions.

While Stelo users have always had access to weekly insights reports, these reports were traditionally formatted in a standard template. The new AI-powered version promises to offer a more personalized experience, drawing on individual user data to provide tailored feedback. For example, if a user’s activity level is low after meals, the report will include specific recommendations to help improve glucose management.

It is important to note that while the AI feature offers personalized insights, it does not provide medical advice. Dexcom has developed the feature with guidance from the U.S. Food and Drug Administration’s (FDA) AI framework. The FDA approved Stelo for use in March, and the company is now looking at expanding the use of generative AI across its other CGM products.

Looking forward, Dexcom plans to evolve its AI capabilities to provide real-time feedback rather than just weekly summaries. The company also envisions using the AI platform to predict potential issues before they arise, much like a “check engine light” in a car, providing early warnings and suggestions for further consultation with healthcare providers.

Chris Sakalosky, vice president of strategic industries at Google Cloud, noted the potential for the technology to offer predictive insights. “It gives you a sense for what could be going on, and recommendations of where you might want to go to seek more advice,” Sakalosky said.

The updated AI-powered reports are already rolling out to Stelo users this week, marking an important step in Dexcom’s mission to make glucose monitoring more intuitive and informative for consumers.

 

Suki Expands Collaboration with Google Cloud to Enhance AI Tools for Clinicians

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Health-tech startup Suki has announced an expanded partnership with Google Cloud, focusing on broadening its range of assistive tools for healthcare professionals. The collaboration leverages Google Cloud’s Vertex AI platform, which enables the development and deployment of advanced AI models. With this new integration, Suki aims to go beyond clinical documentation to offer tools that support clinicians in managing patient data more efficiently.

Suki’s flagship product, the Suki Assistant, helps physicians by automatically converting patient visit recordings into clinical notes, thus relieving them of the time-consuming task of manual documentation. The enhanced partnership with Google Cloud introduces two new features—patient summarization and a Q&A tool—designed to further assist clinicians in providing care.

The patient summary feature will allow doctors to access essential patient information, such as age, medical history, chronic conditions, and recent prescriptions, with a single click. By consolidating this information in one place, the feature aims to save clinicians the 15 to 30 minutes they typically spend searching for these details. Additionally, Suki’s new Q&A tool will allow doctors to ask specific questions about a patient’s health, such as querying their latest lab results or vaccination history. This tool uses AI to provide quick, accurate answers, improving efficiency and enabling healthcare providers to focus more on patient care.

The new features are expected to be available to a select group of clinicians starting today, with general availability anticipated for early next year. Importantly, these updates will not incur additional costs for existing customers.

Suki’s CEO, Punit Soni, emphasized that the company’s vision has always been to create a comprehensive assistant for clinicians, not just a documentation tool. He added that Suki’s innovations reflect a broader trend in healthcare, where AI is increasingly being integrated into clinical workflows to reduce administrative burdens. Soni, who previously worked at Google, stated that AI’s role in healthcare is poised for significant growth, much like the internet’s transformative impact on business and communication.

The company, which is already used by 350 health systems and clinics across the U.S., has seen rapid growth, tripling its client base this year. As healthcare systems continue to face challenges related to burnout and administrative overload, AI tools like Suki’s could become essential in easing the workload for doctors and improving overall efficiency in the healthcare sector.

Suki recently raised $70 million in funding, highlighting the growing interest from investors in healthcare AI solutions. With competition intensifying, including from companies like Microsoft’s Nuance Communications, which also provides AI-powered documentation tools, Suki’s ability to innovate with these new features will be crucial in maintaining its competitive edge.

 

GE HealthCare Partners with Amazon Web Services to Develop Generative AI for Medical Data Analysis

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GE HealthCare announced a strategic collaboration with Amazon Web Services (AWS) to develop generative artificial intelligence (AI) models and tools aimed at enhancing the analysis of complex medical data. This partnership targets the healthcare industry, which generates nearly a third of the world’s data, much of which remains underutilized due to its fragmented and inaccessible nature.

With 97% of hospital data going unused, according to a Deloitte report, GE HealthCare sees an opportunity to leverage generative AI to optimize data use across healthcare operations. The collaboration with AWS will focus on creating AI models that can streamline various medical processes, including screenings, diagnoses, decision support, and workflow management such as scheduling.

Dr. Taha Kass-Hout, GE HealthCare’s global chief science and technology officer, highlighted that this partnership will enable hospitals and clinicians to maximize the potential of their existing data. AWS’s advanced solutions, including Amazon Bedrock and Amazon SageMaker, will provide the technical infrastructure necessary for developing these AI models at scale.

Additionally, GE HealthCare plans to utilize AWS’s AI tools to boost internal productivity. One of the initial projects includes deploying Amazon Q Developer, an assistive tool that generates real-time code suggestions for software developers, thereby improving their efficiency.

While GE HealthCare already offers AI tools, this collaboration with AWS is expected to accelerate the development and deployment of new AI-driven medical applications. These innovations will initially be available to GE HealthCare employees and customers, with plans for broader accessibility in the future. The company maintains strict testing standards to ensure the reliability and safety of its AI applications.