Daniel Forsberg

Line Manager Radiology AI at Sectra

Linköping, Sweden
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Summary

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Senior
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Daniel Forsberg is a seasoned medical imaging informatics leader with over 15 years at Sectra, blending hands-on research, product strategy, and team leadership to operationalize AI in clinical radiology. As AI Lead and Line Manager for Radiology AI he drives adoption of Sectra Amplifier Services—helping hospitals deploy third-party AI at scale—while coaching DevOps teams to deliver a robust SaaS offering. His background spans software development, automated testing, research science and product ownership, giving him a rare ability to translate academic prototypes into regulated, deployable clinical tools. He keeps a pulse on regulatory and monitoring practices for safe AI deployment and is known for fostering a culture of continuous improvement and practical innovation. Based in Linköping with a PhD in Medical Informatics, he combines deep technical credibility with a pragmatic focus on measurable clinical impact.
code11 years of coding experience
job16 years of employment as a software developer
bookBiomedical Engineering, Biomedical Engineering at Technische Universität Graz
bookDoctor of Philosophy (Ph.D.) Medical Informatics, Doctor of Philosophy (Ph.D.) Medical Informatics at Linköping University
languagesSwedish, English, German, Spanish
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Github Skills (111)

medical-imaging10
medical10
image-analysis10
javascript10
medical-image-processing10
anaconda10
dicom10
imaging10
matlab9
nuget9
spyder9
visualization9
netstandard9
ide9
ohif9

Programming languages (11)

TypeScriptC#JavaC++CScalaVueJavaScript

Github contributions (5)

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fordanic/openslide-matlab

Dec 2014 - Jan 2019

A MATLAB library providing bindings to the C library OpenSlide (https://github.com/openslide/openslide) used for reading whole-slide images.
Contributions:16 commits, 1 PR, 7 pushes in 4 years 1 month
c-librarymatlabopenslide
fordanic/cmiv-ai-course

Mar 2018 - Mar 2019

Contains Jupyter Notebooks used during the exercise sessions at CMIVs (https://liu.se/en/research/center-for-medical-image-science-and-visualization-cmiv) AI course for radiologists and pathologists.
Contributions:1 release, 21 commits, 18 pushes in 11 months
aijupyter-notebookvisualization
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