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AI X-ray analysis for clinics
Clinic software that annotates X-rays and detects landmarks with AI.
Measuring
Minutes per X-ray analysis, before vs after
Clinics
Most clinics we meet run on a mix of paper forms, a booking app, spreadsheets and WhatsApp. The clinical work is skilled; the admin around it is not, and it eats the hours between patients. We build clinic systems that keep records in one place, use AI where it saves chair time, and turn the day's work into reports without anyone retyping it.
Patient details are written on paper, typed into a sheet and copied again into a report. Every copy is a chance for an error, and finding an old record means digging.
X-rays and scans are marked up by hand before any measurement or diagnosis. It is careful work that repeats the same steps on every image.
Monthly numbers for the owner or the panel are assembled from several sources at the end of the month, usually by the person who should be going home.
A browser canvas where AI places anatomical landmarks on each X-ray, the clinician reviews and adjusts them, and measurements follow from the confirmed points.
One record per patient with visits, images, notes and documents, searchable by staff with the right access.
Clinical and business reports generated from the data your team already enters, on a schedule you choose.
Reminders, follow-ups and internal alerts that run in the background instead of on someone's to-do list.
Vision AI does the first pass on images so clinicians confirm rather than start from nothing. Each correction feeds back into the model, so accuracy improves as the clinic uses it. Decisions stay with the clinician; the AI removes the repetitive marking.
The systems behind this page, shown anonymously.
Clinic software that annotates X-rays and detects landmarks with AI.
Measuring
Minutes per X-ray analysis, before vs after
Start with the one task that costs the most chair time or admin time. In a free 30-minute audit we map how it works today and show what a system for it would look like, then quote based on complexity before any build.