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Edyta Popiel-Dzięcioł

Edyta Popiel-Dzięcioł

Medical Advisor - AI Imaging Data Correction

Poland flagWrocław, Poland
Entry LevelInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Medical Imaging
Cardiology Domain Expertise
Radiology Domain Expertise

Top Data Types

ImageImage

Top Task Types

SegmentationSegmentation

Freelancer Overview

Board-certified radiology specialist with 5+ years of professional experience and 2 years of experience in AI-assisted medical imaging data correction and validation. Skilled in reviewing and correcting AI-generated 3D reconstructions of coronary vasculature (CCTA), diagnostics and analysis across all major imaging modalities: X-Ray, Ultrasound, CT, and MRI. Combining deep clinical imaging expertise with practical understanding of AI output quality assurance. Education includes Doctor of Medicine, Wroclaw Medical University (2017).

Entry LevelEnglishPolish

Labeling Experience

Medical Advisor - AI Imaging Data Correction

Reviewed and corrected AI-generated 3D reconstructions of coronary vasculature derived from CCTA data. Ensured clinical accuracy and quality assurance for non-invasive FFR-CT diagnostics outputs. Provided expert validation and correction to support machine learning model improvement in clinical imaging applications. • Extensive hands-on experience in AI data correction and validation. • Focused on coronary artery models including LAD, RCA, and LCX. • Worked with proprietary AI-enabled software for medical data (Internal/Proprietary Tooling). • Supported deployment of AI-assisted diagnostics in real-world clinical settings.

Reviewed and corrected AI-generated 3D reconstructions of coronary vasculature derived from CCTA data. Ensured clinical accuracy and quality assurance for non-invasive FFR-CT diagnostics outputs. Provided expert validation and correction to support machine learning model improvement in clinical imaging applications. • Extensive hands-on experience in AI data correction and validation. • Focused on coronary artery models including LAD, RCA, and LCX. • Worked with proprietary AI-enabled software for medical data (Internal/Proprietary Tooling). • Supported deployment of AI-assisted diagnostics in real-world clinical settings.

2020 - 2022

Education

W

Wroclaw Medical University

Doctor of Medicine, Medicine

Doctor of Medicine
2011 - 2017

Work History

A

Affidea Polska

Physician - Radiology Resident

Wrocław
2022 - 2024
S

Starmedica

Physician - Radiology Resident

Legnica
2019 - 2022