Continuous glucose monitors are extending their wear time, adding AI-driven meal guidance, and pushing further into over-the-counter, non-prescription use — a set of shifts that registered dietitians working with diabetes or metabolic-health clients are increasingly running into in practice.
Dexcom’s newest system, the G7 15 Day, extends sensor wear to roughly 15.5 days including a 12-hour grace period, with an improved Mean Absolute Relative Difference of 8 percent — a measure of sensor accuracy. Dexcom has also been expanding direct smartwatch connectivity and is studying broader use of CGM data for weight management and A1C reduction in people with type 2 diabetes who are not on insulin, not just the traditionally covered insulin-treated population.
Abbott has moved in a similar direction with its FreeStyle Libre 3 Plus, and has added an AI feature called Libre Assist that can estimate a meal’s glucose impact from a photo or description before the person eats it, then offer personalized guidance. Abbott also introduced Libre Duo, a combined glucose-and-ketone sensor, and continues to sell Lingo, an over-the-counter CGM sold without a prescription that is aimed at helping general consumers understand how food, activity, sleep, and stress affect their glucose. Abbott has paired Lingo with Google Health to combine glucose data with Google’s broader health and AI tools.
Dexcom’s G7 15 Day extends CGM wear time to roughly 15.5 days with an improved sensor accuracy rating (MARD) of 8 percent.
Other manufacturers are moving too. Senseonics’ Eversense 365 is now the first CGM cleared for a full year of continuous wear via an implanted sensor, syncing with Apple Health and third-party nutrition apps. Medtronic has added the calibration-free MiniMed Guardian 4 and the compact, 15-day MiniMed Instinct for pump users, alongside its Guardian Connect system, which pairs with the Sugar.IQ smart diabetes assistant — built on IBM Watson technology — to flag predicted high or low glucose events up to 60 minutes in advance.
Feeding-device makers are moving in a parallel direction toward closed-loop, connected systems. Luminoah showed its Luminoah Flow platform at CES 2026, pairing software with connected hardware to manage tube feeding more precisely and safely, while Nutricia continues to refine its Flocare Infinity III enteral feeding pump for portability and dosing accuracy.
On the consumer-facing side, AI-powered food-logging apps have shifted from manual diaries toward photo-based, automated tracking. Apps such as PlateLens use a phone camera and depth analysis to identify food, estimate portion sizes, and log entries in seconds, while more established platforms like Cronometer and MacroFactor lean on detailed micronutrient tracking or adaptive calorie targets that recalibrate based on a user’s actual weight trend rather than fixed formulas.
For dietitians, the practical takeaway is less about any single device and more about a pattern: glucose and feeding technology is increasingly built to hand raw data to an AI layer that turns it into a recommendation before the clinician ever sees it. That makes it worth understanding what these tools are actually telling patients — and where their guidance might diverge from a dietitian’s own clinical judgment — rather than treating them as a black box.