The intersection of technological trajectories: The case of medical instrumentation and artificial intelligence

Sana Elouaer-Mrizak () and Didier Lebert ()
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Sana Elouaer-Mrizak: ISI - Centre de recherche sur l’Innovation et les Stratégies Industrielles - ULCO - Université du Littoral Côte d'Opale
Didier Lebert: UEA - Unité d'Économie Appliquée - ENSTA - École Nationale Supérieure de Techniques Avancées - IP Paris - Institut Polytechnique de Paris, CRG I3 - Centre de Recherche en Gestion I3 - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique

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Abstract: This article examines the interaction between the technological trajectories of artificial intelligence (AI) and medical instrumentation (MI) from 2010 to 2020. Using patent data, we created a cumulative graph of technological codes and measured the direction and intensity of the two fields' interactions. The results reveal three things. First, there was a rapid expansion of AI/MI interaction, with a tendency toward a center/periphery structure in which AI technologies are dominant. Second, cognitive flows are highly asymmetrical, with AI transferring many more new combinations to MI than vice versa. Third, our prediction method had a very high success rate at the beginning of the decade; however, its advantage eroded as the structure solidified, reflecting the transition from a logic of exploration to a logic of exploitation.

Date: 2025
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Published in Innovations - Revue d’économie et de management de l'innovation, 2025, Abstract Booklet Economics, Management and Engineering of Innovation : Trajectories and Perspectives of Systemic Innovations., 2025 (HS1), pp.29. ⟨10.3917/inno.hs1.2025.0029⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-05318207

DOI: 10.3917/inno.hs1.2025.0029

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