Discover cutting-edge AI tools designed to transform “” workflows. Boost efficiency, simplify tasks, and stay ahead with smart, innovative solutions.

AEYE uses an artificial intelligence algorithm to analyze retinal images captured by a compatible tabletop or handheld fundus camera. In real life, a clinic staff member takes one photo of each of the patient's eyes without requiring chemical pupil dilation, and the software returns a diagnostic result for diabetic retinopathy in under a minute. This allows point-of-care staff to immediately identify patients who need an ophthalmologist referral while clearing those who do not for another 12 months.
| Feature | Invoice |
|---|---|
| FDA Status | Approved |
| HIPAA Compliance | Yes |
Verdict: 🟢 Strong Fit for Stated Use Case
Established FDA clearance, clear workflow value for point-of-care screening, and transparent clinical validation metrics, though standard enterprise IT security details and pricing require direct vendor engagement.
Operational Utility (Workflow Impact) For clinicians and administrators, AEYE-DS replaces the traditional, multi-step workflow of referring diabetic patients out to an eye specialist and waiting weeks for consultation notes to return. It fits directly into the "during visit" workflow of a standard primary care or chronic care management appointment. By capturing the image and generating the diagnosis on the spot, it eliminates external handoffs, reduces the administrative burden of tracking referral compliance, and directly addresses revenue leakage by allowing the practice to bill for the screening in-house using CPT code 92229.
Implementation & Integrations The system is deployed as a software layer tied directly to specific hardware, currently validated and cleared for use with the Topcon NW400 robotic tabletop camera and the Optomed Aurora handheld camera. Because the FDA clearance is strictly tied to these specific camera models, health systems cannot deploy the software on their existing fleet of legacy retinal cameras; implementation requires purchasing or exclusively using the exact supported hardware.
Disclaimer
Doxiverse provides independent, informational content for healthcare professionals. Tool descriptions and insights reflect Doxiverse’s editorial analysis and professional opinion based on publicly available information at the time of publication. Content is not medical advice, does not constitute endorsement, and may change as products evolve. Users should independently verify all clinical, regulatory, security, and pricing details directly with vendors and relevant authorities.
No reviews yet