Max Gordon

Max Gordon

Affiliated to Research | Adjunct Senior Lecturer | Docent
Visiting address: Entrévägen 2, 18257 Danderyd
Postal address: D1 Kliniska vetenskaper, Danderyds sjukhus, D1 Ortopedi, 182 88 Stockholm
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About me

  • I am a docent and an orthopaedic surgeon at Danderyd University Hospital. In
    addition to my clinical profile I have a background in programming. I've been
    toying around with different projects in a multitude of languages since mid
    90:s where the statistical programming language R lies very close to heart as
    I've been in the Stockholm R-User Group [1] since 2013 and have 4 published
    R-packages. My most downloaded package, htmlTable [2], is downloaded more
    than 100 000 times/month. You can find all of my open-source contributions on
    GitHub [3]. I also have a research blog, G-forge [4], where I try to post
    random things that I find interesting whenever I find the time.
    [1] http://www.meetup.com/StockholmR/
    [2] https://github.com/gforge/htmlTable
    [3] https://github.com/gforge/
    [4] http://gforge.se

Research

  • My main research interests are currently epidemiology and machine learning
    where I'm one of the co-founders of teh Clinical Artificial Intelligence
    Laboratory [1] (CAIR-Lab). The lab is a unique environment for clinicians to
    develop clinical AI-driven applications. It is a meeting place for all
    medical fields with the sole purpose of taking AI-research all the way from
    idea to the patient.
    I wrote my thesis [2] in 2014 on how patient factors influence outcomes after
    total hip replacements. It was a wonderful collaboration with the Swedish Hip
    Arthroplasty Register [3] that work spurred my interest in advanced
    statistics and that then led me towards AI and deep learning. My current
    focus is primarily on interpreting radiographs using deep learning where try
    to find features beyond just fracture detection that can be used to guide
    clinicians and help patients.
    My primary motivator is to bridge the gap between research and implementation
    - too many good papers fail too reach the benefit of the patients. I am
    certain of that this is not a lack of will but a lack of proper tooling. AI
    has the potential to change this and I hope that my research will be a part
    of this change.
    [1] https://ki.se/en/kids/cair-lab
    [2] http://publications.ki.se/xmlui/handle/10616/42012
    [3] https://shpr.registercentrum.se/

Articles

All other publications

Employments

  • Adjunct Senior Lecturer, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, 2024-2026
  • Affiliated to Research, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, 2022-2025

Degrees and Education

  • Docent, Karolinska Institutet, 2022
  • Degree Of Doctor Of Philosophy, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, 2014

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