Development of AI applications in the domain of medical imaging
Latest publications
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Ferdinand Mol (2022), "The Ambivalence Paradox: How attitudinal ambivalence affects a decision-maker’s reliance on AI-powered decision aids", Master thesis, Vrije Universiteit Amsterdam, School of Business and Economics.
Marcel Peter (2022), "Thinking fast and slow: the effect of XAI from a human-centered perspective", Master thesis, Vrije Universiteit Amsterdam, School of Business and Economics.
Unpublished works
Luna Zhou (2021), "Founding team composition and firm development: based on AI medical software companies", Premaster Academic Paper, Vrije Universiteit Amsterdam, School of Business and Economics.
Abby Zerfu (2021) "AIin Radiology: The likelihood of getting FDA approval", Premaster Academic Paper, Vrije Universiteit Amsterdam, School of Business and Economics.
Chantal Houtschild (2021), "Artificial intelligence in Radiology: Legal approval and innovation", Premaster Academic Paper, Vrije Universiteit Amsterdam, School of Business and Economics.
Rik van Sommeren (2021), "Innovation in the Market of Radiology AI Applications Start-ups vs Incumbent suppliers", Premaster Academic Paper, Vrije Universiteit Amsterdam, School of Business and Economics.
Silke Dinnessen (2021), "Exploring the factors that lead to the articulation of components of the business model of companies that develop AI solutions for radiology", Premaster Academic Paper, Vrije Universiteit Amsterdam, School of Business and Economics.
Simon Gerritsen (2021), "How companies engage in the field of interpretable AI", Premaster Academic Paper, Vrije Universiteit Amsterdam, School of Business and Economics.
Wouter de Klerk (2021), "Tacit Knowledge of Radiologists and the Rise of AI", Vrije Universiteit Amsterdam, School of Business and Economics.