TY - JOUR
T1 - AI medical device post-market surveillance regulations
T2 - consensus recommendations by the European Society of Radiology
AU - Cuocolo, Renato
AU - Bernardini, Diana
AU - Pinto Dos Santos, Daniel
AU - Klontzas, Michail E
AU - Akinci D'Antonoli, Tugba
AU - Semedo, Luís Curvo
AU - Decoster, Robin
AU - Huisman, Merel
AU - Kotter, Elmar
AU - Martí-Bonmatí, Luis
AU - Minoiu, Costin
AU - Neri, Emanuele
AU - Nikolaou, Konstantin
AU - Radziņa, Maija
AU - Sala, Evis
AU - Shelmerdine, Susan C
AU - Topff, Laurens
AU - Williams, Michelle C
AU - European Society of Radiology (ESR)
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12/12
Y1 - 2025/12/12
N2 - Abstract: The increasing integration of artificial intelligence as medical devices (AIaMDs) within diagnostic imaging necessitates a robust understanding of associated regulatory frameworks among clinical practitioners. Despite the growing commercial availability and adoption of AIaMD, a significant awareness gap persists among radiologists regarding pertinent European Union regulations, including the Medical Device Regulation (MDR) and the novel EU AI Act, both of which lack explicit provisions tailored to AI components. This regulatory ambiguity underscores a critical need for clarified guidelines concerning “high-risk” AI classification and best practices for safe deployment within the radiological workflow. Legal responsibility for AIaMD Post-Market Surveillance (PMS) primarily rests with software providers, yet radiologists are expected to contribute to the ongoing monitoring of safety and performance. Recognizing the need to raise awareness and provide practical guidance, the European Society of Radiology (ESR) eHealth and Informatics Subcommittee, supported by the ESR AI Working Group, conducted a modified Delphi procedure involving 16 domain experts (of which 14 acted as panelists) to establish a set of shared recommendations. These aim to establish essential practices for AIaMD PMS and post-market clinical feedback (PMCF), as stipulated by the MDR and partially updated by the AI Act. This paper also provides an overview of relevant regulations to enhance awareness among all stakeholders, particularly deployers (e.g., radiologists) and providers (e.g., vendors). These recommendations represent a foundational step towards improving consistency in AIaMD deployment, providing a critical reference standard for physicians navigating the unique challenges posed by these novel technologies. Critical relevance statement: Radiologists need to familiarize themselves with AIaMD EU regulations due to shared PMS responsibilities and current ambiguities. ESR recommendations aim to bridge this awareness gap, standardizing safe AI deployment and enhancing clinical feedback within medical imaging. Key Points: Radiologists need a clear understanding of EU regulations for AIaMDs, as current laws lack imaging-specific guidance. There is a shared responsibility for AIaMD safety, with radiologists contributing to PMS and clinical feedback systems. The ESR provides crucial recommendations to standardize AI deployment and improve clinical feedback in imaging.
AB - Abstract: The increasing integration of artificial intelligence as medical devices (AIaMDs) within diagnostic imaging necessitates a robust understanding of associated regulatory frameworks among clinical practitioners. Despite the growing commercial availability and adoption of AIaMD, a significant awareness gap persists among radiologists regarding pertinent European Union regulations, including the Medical Device Regulation (MDR) and the novel EU AI Act, both of which lack explicit provisions tailored to AI components. This regulatory ambiguity underscores a critical need for clarified guidelines concerning “high-risk” AI classification and best practices for safe deployment within the radiological workflow. Legal responsibility for AIaMD Post-Market Surveillance (PMS) primarily rests with software providers, yet radiologists are expected to contribute to the ongoing monitoring of safety and performance. Recognizing the need to raise awareness and provide practical guidance, the European Society of Radiology (ESR) eHealth and Informatics Subcommittee, supported by the ESR AI Working Group, conducted a modified Delphi procedure involving 16 domain experts (of which 14 acted as panelists) to establish a set of shared recommendations. These aim to establish essential practices for AIaMD PMS and post-market clinical feedback (PMCF), as stipulated by the MDR and partially updated by the AI Act. This paper also provides an overview of relevant regulations to enhance awareness among all stakeholders, particularly deployers (e.g., radiologists) and providers (e.g., vendors). These recommendations represent a foundational step towards improving consistency in AIaMD deployment, providing a critical reference standard for physicians navigating the unique challenges posed by these novel technologies. Critical relevance statement: Radiologists need to familiarize themselves with AIaMD EU regulations due to shared PMS responsibilities and current ambiguities. ESR recommendations aim to bridge this awareness gap, standardizing safe AI deployment and enhancing clinical feedback within medical imaging. Key Points: Radiologists need a clear understanding of EU regulations for AIaMDs, as current laws lack imaging-specific guidance. There is a shared responsibility for AIaMD safety, with radiologists contributing to PMS and clinical feedback systems. The ESR provides crucial recommendations to standardize AI deployment and improve clinical feedback in imaging.
KW - Artificial intelligence
KW - Regulation
KW - Implementation
KW - AI literacy
KW - Human oversight
UR - https://www.scopus.com/pages/publications/105025132835
U2 - 10.1186/s13244-025-02146-8
DO - 10.1186/s13244-025-02146-8
M3 - Article
C2 - 41385025
SN - 1869-4101
VL - 16
JO - Insights into Imaging
JF - Insights into Imaging
IS - 1
M1 - 275
ER -