About

Independent clinical evidence and validation methodology for AI medical devices (SaMD).

Serteser Consulting is run by Burak Serteser (BME MSc), a biomedical engineer who has developed a medical-AI medical device and published it in an international peer-reviewed journal. For medical-AI / SaMD companies: independent clinical validation studies, the CER statistical core, and regulatory evidence (TITCK / EU-MDR / FDA); and for academic teams: systematic reviews and biostatistics.

Principal

Burak Serteser

Burak Serteser, Biomedical Engineer, principal of Serteser Consulting

Burak Serteser

Biomedical Engineer (BME MSc) · SaMD Clinical-Evidence Methodologist · Founder of Salnus

At Salnus I developed a medical-AI medical device and published its clinical study in an international peer-reviewed journal. I turn that experience into independent methodology support under the Serteser Consulting umbrella: clinical validation study design for SaMD / medical-AI companies, standalone performance, the CER statistical core, and reporting-guideline (TRIPOD-AI / STARD-AI) compliance. As a methodologist independent from the team that develops the model, I build the part of the regulatory file that is the most heavily scrutinized yet the least negotiable.

The academic side is the foundation of this methodology: an international peer-reviewed clinical study (2026), PROSPERO-registered systematic reviews and meta-analyses, deep-learning-based segmentation studies, and clinical data pipeline projects. Biostatistics, systematic review, and meta-analysis consulting for academic teams is ongoing.

Publications & Research

Active portfolio

  • · Clinical study published in an international peer-reviewed journal (2026)
  • · nnU-Net four-bone knee CT segmentation (n=167, manuscript in preparation)
  • · Hip osteoarthritis AI SR + meta-analysis (under peer review)
  • · ONFH MRI AI SR + meta-analysis (in writing)
  • · Knee osteoarthritis AI SR (in writing)

Method and Standards

Working framework

  • · IMDRF SaMD N41 + MDCG 2020-1 clinical evaluation
  • · EU-MDR Rule 11 classification + CER (TITCK transposes it)
  • · TRIPOD-AI / STARD-AI / DECIDE-AI reporting standards
  • · Pre-locked SAP + standalone / external validation
  • · PROSPERO + PRISMA 2020 + Cochrane RoB 2 (systematic review)
  • · KVKK- and GDPR-compliant data management

Sample Work

Anonymized project examples

For client confidentiality, the specialty, institution, and names are not shared; the format and scope are as follows.

Clinical-Evidence

SaMD standalone validation + CER statistics

Scope
For a medical-AI / SaMD company, a pivotal clinical validation study independent of the development team, plus the CER statistical core.
Process
Clarifying the intended-use statement, pre-locked SAP, standalone performance (external validation), reference standard protocol, TRIPOD-AI / STARD-AI compliant reporting, CER statistics section (MDCG 2020-1).
Output
Locked protocol + SAP, standalone performance report, CER statistics and clinical evaluation section, named methodologist signature in the regulatory file.

Duration: 6-10 weeks

Academic

Systematic review + meta-analysis

Scope
A full-process systematic review and meta-analysis for a team of 1 researcher + 1 supervisor in a medical specialty.
Process
PROSPERO registration, PRISMA 2020 flow diagram, dual independent screening (Rayyan), RoB 2 assessment, random-effects pooling with R metafor, GRADE evidence.
Output
Publication-ready draft (Vancouver), PRISMA 2020 supplementary files, forest plot and funnel plot figures, raw extraction CSV.

Duration: 4-5 months

Enterprise

Clinical data pipeline

Scope
For a health technology company, end-to-end pipeline setup from raw DICOM series to a segmentation training set.
Process
Anonymization, format normalization (NIfTI), quality control script, nnU-Net training configuration, KVKK-compliant storage architecture.
Output
Working pipeline (Python + Docker), README, file structure documentation, training log + initial validation metrics.

Duration: 6-8 weeks

Individual

AI mentoring

Scope
For an academic, training on AI tools across literature review, drafting, and revision processes.
Process
One-on-one online sessions; prompt engineering, ICMJE Vancouver limits, plagiarism and hallucination control checklist, personalized workflow.
Output
Personal prompt library, workflow document, follow-up messaging support.

Duration: 6 hours (3 sessions)

Contact

First, a short introduction.

A free 15-minute call to clarify the scope. For written communication, burak@serteser.com.tr.