AI is scaling diabetes care

At the ATTD diabetes conference in Barcelona (March 11–14, 2026), Adhera Health demonstrated a suite of AI-driven, family-centered digital tools designed to help families manage diabetes between clinic visits. ( prlog.org ) Health systems are already installing AI-enabled eye cameras in routine clinic settings so screening does not require a specialist visit; the Cleveland Clinic has rolled these devices out across its Cole Eye Institute locations adjacent to primary care clinics in Ohio. ( yahoo.com ) Those fundus cameras take a photograph of the back of the eye and use on‑device machine learning to return an immediate result — for example: no diabetic eye disease detected, more-than-mild disease detected, or image quality too poor for a decision — which lets clinics triage patients in minutes instead of waiting for specialist reports. ( consultqd.clevelandclinic.org ) The software side of these rollouts ties continuous glucose monitors (wearable sensors that measure blood sugar every few minutes and stream the data) into care platforms that analyze patterns and surface automated insights — like predicted high or low glucose periods or adherence flags — directly into clinician workflows or family-facing apps. ( researchandmarkets.com ) Market research firms report this combination of device data, clinic integration and predictive analytics is driving rapid commercial growth: the AI-in-diabetes market rose from roughly $0.8 billion in 2025 to about $1.06 billion in 2026 and is projected to reach roughly $3.4 billion by 2030, with double‑digit compound annual growth rates cited by multiple analysts. ( thebusinessresearchcompany.com ) Adhera frames its product as “empathic” and family-centered — meaning the tools are built to support parents, young patients and clinicians with behaviorally informed nudges and evidence-based programs — and the company presented clinical validation and responsible-AI commitments at ATTD as part of that pitch. ( adherahealth.com )