In a move that will help the company cement its position in the digital health space, Google has announced an effort to deploy the latest large language model (LLM), which is health- and wellness-tailored, onto its Fitbit app. This also shows the new step that Google is trying to push to develop its commitment further and, in turn, increase the experience of its users using the power of its AI even more. The upcoming AI model tries to provide Fitbit users with much more personalized insights regarding health routines but has been designed in such a way that it analyzes data without giving diagnoses related to health issues or treatments of the same.
Personalized health insights at your fingertips
With the personalization in health analytics, Google is moving dramatically towards personalized wellness experiences. The new AI model will interpret and give feedback on health data through the Fitbit app. The Fitbit app, in turn, will provide feedback tailored to users on how best they can improve their sleep patterns and exercise routines.
The model will contain capabilities to process natural language questions on the number of minutes a user was in their active zone (AZM) during exercises or the kind of sleep they had, to which the model will return intuitive visualizations such as histograms and heatmaps. Part of broader efforts at Google to imbue AI into health and wellness, it offers users insights specifically customized to their unique health profiles. Technology is based on the solid ground of health signals derived from extensive research and validation by certified coaches and wellness professionals from the team.
Despite the hype around its potential, Google has yet to announce whether the AI model will run on-device or require the internet further to leave questions at bay on blanks over user privacy and data interoperability.
Beyond Fitbit in Google’s broader health initiative
That comes on top of AI enhancements expected to go for Fitbit as part of the series of updates by Google about improvements to its health offerings. It also brings in some major changes, such as the addition of Google Lens for health-related searches so that one could explore symptoms or health conditions through the app with visual searches for the same. This will ease the process of understanding the health conditions that need support from quality visual results of credible sources.
Aloud has also been instrumental in making health information available to people across the world. Having first focused on First Aid, she is now eagerly waiting for the First Aid, Cancer, and Chronic Obstructive Pulmonary Disease (COPD) videos to be translated into multiple languages. All these initiatives are an indication of Google’s commitment to the use of AI to make health information more easily understandable and available to people around the world.
The intersection of AI and blockchain in healthcare
As AI further shifts the goalposts of the healthcare technology landscape, it becomes more important to ensure quality data through ownership, which emerges as an important factor for enterprise blockchain systems. The use of blockchain ensures the health data is securely maintained within a cryptographical immutable framework. Hence, it possibly assures the privacy and data security of health-driven applications based on AI. This consolidation of AI into blockchain technology is on the verge of a much more transparent, secure, and efficient ecosystem of digital health that may very well be laying down the very foundation of future innovations. From the integration of the health-centered AI model into Fitbit to the company’s efforts to improve health and wellness services, Google has all the best new updates. They use this kind of stuff to offer the type of personal health insights required and, hence, provide better access to quality health information, thus taking control of the journey to healthy living. But suppose the tech giant continues to navigate the intricacies of incorporating AI into healthcare. In that case, opportunities are great for this technology to finally bring about radically changed ways of understanding and managing our health far beyond those of any Fitbit-wearing consumer.
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