How Dr. K. Anusha Vijay turned grayscale radiographs into something her patients could actually understand — and started converting more of the treatment plans she was already recommending.
In a town like Guntur, explaining the state of someone's mouth is rarely a clinical problem — it's a communication one. A black-and-white radiograph asks the patient to trust an interpretation they cannot verify.
Most patients couldn't perceive which area the dentist was pointing at. The recommendation was sound; the evidence for it stayed invisible. Treatment decisions stalled — not on cost, but on comprehension.
“It is not very easy to make people understand the situation of their teeth just by showing black and white X-rays.”
Dr. Anusha found Medecro's AI X-ray analyser online and approached the team directly. Regular radiographs — the ones she was already taking — went in; an annotated, colour-coded picture of the patient's own teeth came out.
No new hardware, no new capture protocol — it works with the existing portable setup used on home visits.
Findings are rendered in colour on the patient's own radiograph — the conversation stops being abstract.
The practice ERP records exactly which surface is affected, so history is specific rather than approximate.
Whichever doctor sees the patient next opens the full history — nobody restarts from scratch.
Reported by Assure Dental Care. Individual results vary; AI findings are an adjunct to clinical diagnosis, not a substitute.
“This doesn't mean we are dependent on AI. Only that we can put AI to the best use in dentistry — as additional eyes for diagnosis.”
Everything on this page is drawn from one unprompted, unedited letter from Dr. Anusha's own practice stationery — including the criticism.
Nothing was written for us, and nothing was rewritten by us. Reproduced with her permission.

There have been technical glitches — the product is still early. Dr. Anusha says so directly, and gave the five stars anyway.
What made the difference was availability: consistent support for her and her team through every query, all the way through onboarding. That is the part we intend to keep.
Comprehension, not cost, is the usual reason a sound recommendation stalls in the chair — and what changes when the evidence is visible.
Read the article →FAQWhat the lesion looks like on each modality, why small ones get missed on panoramics, and what an AI overlay actually flags.
Read the article →Case studyDr. Atul Malage's written statement on folding the analyzer into assessment, planning, and patient communication in Sangli.
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