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Håkan Gustafsson

Adjunct Associate Professor, Docent

Håkan Gustafsson’s research focuses on the clinical application of artificial intelligence in mammography, as well as research in radiation physics.
A central part of Gustafsson’s work is the validation of AI systems for clinical use. This includes the development and application of structured, evidence-based methodologies to ensure that AI models perform robustly, reproducibly, and with clinical relevance in real-world healthcare environments. He also contributes to national initiatives aimed at defining safe and transparent pathways for the clinical implementation of AI. Håkan Gustafsson is project manager for AIM, a research program on the implementation of artificial intelligence (AI) in mammography screening including validation and health economics.

The research is conducted at Linköping University. Gustafsson holds a Master’s degree in physics, received his PhD in radiation physics in 2008 and Docent degree in radiation physics in 2013.

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Publications

2025

Haiko Schurz, Klara Solander, Davida Astrom, Fernando Cossio, Taeyang Choi, Magnus Dustler, Claes Lundström, Håkan Gustafsson, Sophia Zackrisson, Fredrik Strand (2025) Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study npj Digital Medicine, Vol. 8, Article 259 (Article in journal) Continue to DOI

2023

Fernando Cossío, Haiko Schurz, Mathias Engström, Carl Barck-Holst, Apostolia Tsirikoglou, Claes Lundström, Håkan Gustafsson, Kevin Smith, Sophia Zackrisson, Fredrik Strand (2023) VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging Journal of Medical Imaging, Vol. 10 (Article in journal) Continue to DOI
Håkan Gustafsson (2023) Så kan AI valideras för klinisk implementering Läkartidningen, p. 27-31, Article 120:23065 (Article in journal)
Susann Skoog, Michael Sandborg, Lilian Henriksson, Mårten Sandstedt, Håkan Gustafsson, Anders Persson (2023) A prospective study comparing the quality of coronary computed tomography angiography images from photon counting and energy integrating detector systems Acta Radiologica, Vol. 64, p. 2957-2966 (Article in journal) Continue to DOI

2022

Susann Skoog, Lilian Henriksson, Håkan Gustafsson, Mårten Sandstedt, Sebastian Elvelind, Anders Persson (2022) Comparison of the Agatston score acquired with photon-counting detector CT and energy-integrating detector CT: ex vivo study of cadaveric hearts The International Journal of Cardiovascular Imaging, Vol. 38, p. 1145-1155 (Article in journal) Continue to DOI

Organisation

Illustration of the letters HMV

Department of Health, Medicine and Caring Sciences (HMV)

The research areas at HMV include experimental basic research to clinical, social and public health research. We conduct high-quality education in the sought-after care professions.
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Division of Diagnostics and Specialist Medicine (DISP)

The division consists of three units (internal medicine, cardiovascular and radiological sciences) and contains seven subject areas within which research and teaching are conducted.
Photo of a MR camera. There is a blue light on the walls from the machine and there is a red, soft light coming from the middle of the machine.

Unit of Radiological Sciences

We conduct research in medical radiology and visualisation, radiation physics, radiochemistry and radioecology.

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