Our Solutions · Decision Support

Decision support on the pitch and in the clinic

Three projects share one backbone: structured input, rule-based assessment, physician-approved output. There is no chatbot; behind every signal stands a visible rationale and a source.

SahaIQRehabFlowClinical Claim Registry
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Shared principle

It signals; it does not diagnose

Three-state signalReady / monitor / at risk, or ready / not yet / further testing: the decision stays with the physician; the system only prioritises.
Sources in viewEvery criterion is tied to a published source; registry cards are verified by DOI.
No free-text generationStructured input turns into a deterministic output; there is no hallucination surface.

Flagship project

SahaIQ — injury-risk foresight in football

In development

Injury-risk foresight and squad-readiness analysis for football clubs. It gives the technical staff a ready / monitor / at-risk signal for each player and a rotation recommendation for the squad. The method is shared in dedicated demonstrations under a confidentiality agreement.

Expert-supervised decision supportAI stands behind the signal; a physician stands behind the decision.
Squad-level viewPlayer signals roll up into a squad-readiness table and a rotation recommendation.
SahaIQ page →

Per-player signal

ReadyMonitorAt risk

A rotation recommendation for the whole squad; every output passes physician review. Dedicated demonstrations for organizations under a confidentiality agreement.

Rehabilitation

RehabFlow — phase-window decision support

In development

A decision-support engine that follows post-operative rehabilitation with phase-gate logic. The first module is ACL return to sport: structured test inputs become a "ready / not yet / further testing" signal with rationale and source attribution. The same engine will carry hamstring, ankle, Achilles and shoulder-instability modules.

Data-driven rulesInjury knowledge lives in sourced rule files, not in code; the engine is injury-agnostic.
Tests, not the calendarThe next phase is tied to measured criteria, not to elapsed time.
RehabFlow page →

Phase-gate logic

Faz 1protection
▶
Faz 2loading
▶
Faz 3strength
▶
Faz 4return to sport
ACLHamstringAnkleAchillesShoulder

Knowledge layer

Clinical Claim Registry — machine-readable clinical knowledge

Live

A physician-approved, machine-readable layer of sports-medicine claims. Every claim is tied to its DOI source, passes an eight-gate verification chain and is anchored inside the articles; AI assistants can cite this site directly.

Eight verification gatesIdentity, anchor, TR–EN match, source, date conflict, DOI verification and physician approval.
Open interfacesJSON claim files, a search endpoint and machine-readable site summaries.
Registry page →
$ search_claims("ACL")
→ claim-acl-rts-criteria
evidence: physician-approved · DOI ✓
source: droguzyuksel.com/…#claim-…

Decision support for your organization

We are open to demonstration and pilot discussions with clubs, clinics and organizations.

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