Upload symptoms and follow patterns
The prototype direction centers on structured symptom data, trend timelines, and clearer summaries patients could bring into physician visits.
How GastroLens works, in more detail.
GastroLens is the live first-version research-mode tool from GastroCompass. It organizes persistent symptom patterns, risk context, and follow-up-ready summaries for early-onset colorectal cancer concern. It is non-diagnostic and not clinically validated: it is built to support an earlier conversation with a physician, not to replace one.
Prototype architecture
How the GastroLens concept is being structured
Patient View
Symptom and context intake
Rectal bleeding, bowel changes, abdominal pain, fatigue, duration, family history, age, ethnicity, and prior colonoscopy status.
GastroLens prototype
Symptom-first risk flagging
Structured analysis of persistence, recurrence, and documented risk context, with imaging review kept as a future validated layer.
Professional View
Action-ready review
Clinician-facing summaries designed to support earlier follow-up conversations, not replace clinical judgment.
Preview views
One symptom-first system, with imaging kept as roadmap work
Future imaging review
The imaging component remains future work until it can be trained and validated on a clinically meaningful dataset with clear performance thresholds.
GastroLens workflow preview
What the upcoming workflow is designed to do
01
Capture
Patients would upload symptoms through structured prompts along with risk context such as age, ethnicity, family history, and prior colonoscopy status.
- Patient symptom timeline
- Age and demographic intake
- Family history and prior screening
- Context and notes
02
Organize
The prototype converts daily logs into a structured timeline so patterns are visible instead of buried across isolated notes.
6-week persistence window
03
Analyze
The planned first model would look for symptom clusters, persistence, and risk stratification patterns that support earlier follow-up in the right patients.
Symptom classifier
Risk context
Duration weighting
Escalation support
04
Escalate
The result is not a diagnosis. It is a clearer signal that says the pattern warrants a conversation with a physician.
Follow-up support
Future summaries are intended to highlight persistent patterns that should not be dismissed without review.
Shared output
Built to make the next decision clearer
GastroLens is being organized to turn scattered symptom history and risk context into one usable output: a planned AI-supported review that is easier to act on and easier to bring into care.
Clearer symptom history
Patients get organized timelines and summaries they can understand and share.
Escalation-ready summary
Professionals get organized symptom context, risk factors, and one clearer review pathway for follow-up conversations.
Research foundation
Why GastroLens is being built this way
GastroLens is coming out of a research-first process, not a rushed app launch. The work behind it includes the completed research paper, the prototype design process, NHANES-grounded feasibility work, and three empirical analyses used to test whether the concept is credible enough to build. That is why the prototype is being kept clearly non-diagnostic and clearly in development.
A first-version tool grounded in evidence, shaped by real design work, and held to a safety-first, non-diagnostic standard.
Live now