An AI assistant's health features are built for conversation, which suits a question about one report. A tracker is built for structure: it reads any lab's file, normalizes names and units, keeps years of history, and links every value to its source. They do different jobs, and the shorter path depends on what you already have.
Why the assistant feels like enough
It is already in front of you. You type a question the way you would ask a person, and the answer comes back in sentences. For a single report, that can be a genuinely good way to understand a term or to draft what to ask at an appointment.
The difficulty is not the first question. It is the fifth question, a year later, about a marker measured by a different lab in a different unit. A conversational tool answers from the context it has. If that context is one attachment, the answer is about one snapshot.
What a tracker has to do instead
A lab report tracker starts with the document, not the question. Doctano accepts PDF, PNG, JPEG, and TIFF files, up to 50 MB each, several at once, from any lab or region. It reads test names, values, units, reference ranges, panels, and report dates, maps markers to LOINC codes, and normalizes names and units so the same marker lines up across labs.
It classifies each result against the reference range on its own report as healthy, borderline, critical, or unknown. A result without a usable range stays unknown, and those labels are not diagnoses. Every value links back to the original report, and the report page has View original, so a suspicious number can be checked instead of trusted.
The output is a timeline, a per-marker history, and an overall health score for each profile. DoctanoAI answers from the selected profile's biomarker values, history, out-of-range results, and report text, and it may link back to reports. It does not diagnose, prescribe, or recommend dosages, and it can be wrong.
The app runs in the browser at app.doctano.com and is mobile-first. It is free, with every feature and no paid tier. The interface is English, and there is no iOS or Android app. An account is required.
Side by side
The comparison is about the shape of the two tools, not a feature list for a particular account. What an assistant can connect to depends on your plan, your country, and the provider, and it changes.
| What matters | An AI assistant's health features | Doctano |
|---|---|---|
| Where the data comes from | The conversation, and whatever your account can connect to | The PDFs and photos you upload |
| Any-lab PDF or photo | Depends on the account and the tool | Yes, from any lab or region |
| Cross-lab name and unit normalization | Not on its own | Names and units, mapped to LOINC |
| History across years | Only what is in the conversation | Every report you upload, on one timeline |
| Source link behind a value | Not per value | Every value links to its report |
| Asking questions in plain language | That is the format | With DoctanoAI, from your own results |
| Family profiles | Separate conversations, not profiles | Separate profiles, one account |
| Export from the tracker | Not the tracker's job | Not available yet |
| Upload formats | Depends on the tool | PDF, PNG, JPEG, TIFF, up to 50 MB |
The honest recommendation
Use the assistant's own surface if
- Your records already arrive from a provider your account supports, and you mainly want to ask questions about them.
- You have one report and want a plain-language explanation.
- You do not need a link from each value back to a page across several labs.
- You want one place to type a question, not a filing system.
Use Doctano if
- Your reports are PDFs or photos from any lab, including labs that will never connect to anything.
- You use more than one lab and need names and units to line up.
- You want years of results on one timeline, with a source link behind each value.
- You manage reports for parents or other family members.
- You want an answer that starts from a structured history rather than whatever is in the chat.
The realistic answer is often both, in the right order: let the assistant explain a report, and keep the organized record in Doctano so the explanation has something to be checked against. Nothing about one prevents the other. If the assistant's own surface already sees everything you need and you mainly want to talk, it may be the shorter path.