Assoc. Prof. Dr. Oğuz Yüksel · Sports medicine specialist · İzmir
QUESTION DESIGN BUILD DECISION.
A question born in the clinic becomes a design, and the design becomes something you can build. The decision stays with the physician.
I have practised sports medicine for over twenty years: beside elite athletes on the pitch, patients in the clinic and students at the university. Today I write that same experience into the tools I build myself — from patient-specific orthosis shells to decision-support software and a knowledge layer that AI assistants cite directly.
Working Principles
The one who builds it is the one who uses it.
I build the design, the code and the shell myself. When the person who knows what the clinic needs is also the person who makes it, nothing is lost in translation.
AI produces and suggests; the physician decides.
In every product the last word belongs to clinical experience. Technology is built beside the physician, not in place of one.
I don't tell, I show.
Every number on this page is read from something that actually runs. The claim registry, the articles and the production line are open and auditable.
I don't sell certainty; the honest language of medicine is the language of probability.
I never say "prevents" or "guarantees". The aim is to notice risk early, and I state plainly what I cannot claim.
I write for people, I structure for machines.
The same content is built twice: in language a person understands and in a structure a machine can parse.
Physician
Not a board;
a physician.
Assoc. Prof. Dr. Oğuz Yüksel is a sports medicine specialist practising in İzmir. He completed his medical degree at Dokuz Eylül University in 2001; over more than twenty years he has worked alongside elite athletes on the pitch, patients in the clinic and students at the university. He served as physician to three national teams and has written more than twenty scientific articles and four book chapters. He builds and clinically reviews the products under this roof himself: under every published clinical claim there is a single physician's signature and a source from the current literature.
Workshop
A clinical need,
turned into something you can hold.
A patient's need often doesn't end with what's on the shelf. So I took on the design, the making and the testing as well: the measurement is taken by 3D scan, the shell is built to the person, printed in composite material, then tried on and corrected again. Everything below is in development; none of it is a medical device offered for sale.
Patient-Specific Knee Orthosis
PrototypeA shell built to the individual from a 3D scan taken with a phone, completed with composite printing and hinge assembly.
Active Ankle-Foot Orthosis
PrototypeA single-actuator design that aims to lift the foot during the phase of gait when it leaves the ground, in foot drop.
Motorising an Off-the-Shelf Brace
PrototypeA conversion that hands the manually turned dial of an off-the-shelf brace over to an actuator while keeping its weight and cost.
Patient-Specific Wrist Splint
PrototypeA ventilated, print-ready shell derived from a surface reconstructed out of phone photographs.
Production Line
One roof, one filter.
Software, content and hardware all pass through the same clinical review. Prototype or live product — nothing is released without physician approval.
Decision Support
3 projectsSahaIQ, RehabFlow and the Clinical Claim Registry: structured input, rule-based assessment, physician-approved signal. No chatbot.
Explore →Orthosis Lab
5 projects · 3DCustom shells from scans and photographs, a motorised off-the-shelf brace and robotic rehabilitation, with 3D previews you can explore in the browser.
Explore →AI Automation & Analysis
Live pipelineA content studio that runs every morning, a transparent voice follow-up agent and multi-criteria market analysis; publication and decisions stay with the physician.
Explore →Flagship project · SahaIQ
Some injuries leave a trace
before they happen.
SahaIQ looks for those traces and gives the coaching staff a plain signal — one of three states for each player. Behind the signal is artificial intelligence; behind the decision, a physician.
Knowledge Centre
Under every answer
there is a source.
39 articles are written in patients' language, published with physician approval and structured for machines; the short-answer / detail / FAQ layout answers a person and an AI assistant with the same accuracy.
Working together
What could we
build together?
The way I work is to understand the problem in the clinic and then make the solution buildable. I take on work in four areas:
Sports clubs and organisations
Injury-risk foresight and squad-readiness signals; expert-supervised decision support used together with the coaching staff.
Clinics and hospitals
A phase-gate flow for tracking rehabilitation, voice follow-up that structures conversations, and a machine-readable layer that opens an institution's knowledge to AI assistants.
Orthotics and medical manufacturing
Translating a clinical requirement into a design, setting up the scan–design–print line, converting off-the-shelf devices.
Institutions and local government
Map and dashboard applications that show sports and health infrastructure to citizens and administrators from the same data.
Frequently Asked
Does the AI make the decisions?
No. The AI analyses, produces and suggests; the decision and the oversight belong to the physician.
Are the signals certain?
They are not — and be wary of any language claiming certainty. The honest language of medicine is the language of probability: SahaIQ aims to surface risk early, it does not guarantee.
Can the workshop devices be purchased?
No. The designs under Workshop are in development; none is a medical device offered for sale. For institutional collaboration, please get in touch.
Who is it for?
Sports clubs and organisations, clinics and hospitals, orthotics and medical manufacturers, organisations building health technology, and public institutions.