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Research Output

All publications are archived in the DkIT STÓR repository. Journal articles, book chapters, conference papers, a research artefact, and teaching resources.

Doctoral Research: Investigating AI-enabled medical device regulatory change management — examining how manufacturers, notified bodies, and competent authorities navigate post-market obligations under EU MDR 2017/745 and the EU AI Act (Regulation 2024/1689) when AI model updates occur in deployed devices. PhD with DkIT, registered under DCU, as part of the DkIT/UCD Collaborative Project on Trustworthy AI-enabled Medical Devices.

2027
Book Chapter Published
Muaz, M., Janjua, Z. H., Loughran, R., & St John Lynch, N.
In: Artificial Intelligence Applications and Innovations (AIAI 2026). IFIP AICT, 794. Springer, Cham, 2027, pp. 3–16. DOI: 10.1007/978-3-032-30805-4_1
2026
Journal Article Published
St John Lynch, N., Loughran, R., Mc Hugh, M., & McCaffery, F.
Journal of Medical Device Regulations, May 2026
Journal Article Published
St John Lynch, N., Loughran, R., McHugh, M., & McCaffrey, F.
Design and Artificial Intelligence, Article 100101, August 2026
Conference Paper Published
St John Lynch, N.
QA/RA Regulatory Forum by Irish MedTech, 05 Mar 2026, Limerick, Ireland
Teaching Resource
St John Lynch, N.
2026 (Unpublished)
2025
Book Chapter Published
St John Lynch, N., Loughran, R., Mc Hugh, M., & McCaffery, F.
In: Systems, Software and Services Process Improvement. CCIS, 2657. Springer Nature, Switzerland AG, 2025, pp. 69–90. DOI: 10.1007/978-3-032-04288-0_5
Conference Paper Published
St John Lynch, N., Loughran, R., Mc Hugh, M., McCaffery, F., & Kowalski, D.
33rd International Artificial Intelligence and Cognitive Science (AICS) 2025, 1–2 Dec 2025, DCU, Dublin, pp. 79–107. DOI: 10.1007/978-3-032-25809-0_7
→ Led directly to a new IEC standard: IEC 63767 — Evaluation of Pre-Trained AI Models for Use Within a Medical Device (TC 62/WG 17, New Work Item approved 2026 — Project Leader)
Conference Paper Published
St John Lynch, N., Loughran, R., Mc Hugh, M., & McCaffery, F.
EuroSPI'25, 16 Sept 2025, Riga, Latvia
2024
Conference Paper Published
St John Lynch, N., Loughran, R., Mc Hugh, M., & McCaffery, F.
EuroSPI'24, 4–6 Sept 2024, Munich, Germany. In: Systems, Software and Services Process Improvement. CCIS, 2179. Springer, Cham, 2024, pp. 112–130. DOI: 10.1007/978-3-031-71139-8_8
Research Artefact
Artefact
St John Lynch, N., Loughran, R., Mc Hugh, M., & McCaffery, F.
DkIT STÓR Research Repository

Selected Figures from Published Work

Illustrative diagrams drawn from peer-reviewed publications. Click the source links to access the full papers in DkIT STÓR.

EuroSPI’24 · Conference Paper

AIeMD Standards Landscape: Regulatory & Technical Layers

Adapted from: St John Lynch et al. (2024) Artificial Intelligence-Enabled Medical Device Standards: A Multidisciplinary Literature Review. EuroSPI’24, Munich. View on Springer

Active Projects

Doctoral Research

AI Change Management Process Assessment (ChangeIQ)

Development of a structured AI-enabled web application for regulatory change management assessment for medical device manufacturers. Based on a 19-section, ~160-question framework spanning EU MDR 2017/745, EU AI Act, ISO 13485:2016, IEC 62304, and ISO 14971. Formally archived as a research artefact in DkIT STÓR.

Policy & Regulation

EU Simplification Package: MDR/IVDR & AI Act Alignment

Analysis of the EC's Simplification Digital Package and Omnibus Proposal and their implications for AI-enabled medical device manufacturers. Presented at the Irish MedTech QA/RA Regulatory Forum (Limerick, March 2026); published in Journal of Medical Device Regulations (in press, 2026).

AI Governance

Trustworthy AI Framework for Healthcare

Proposed framework for trustworthy AI in healthcare, developed through multidisciplinary research. Published as a Springer Nature book chapter (CCIS, 2025) and presented at EuroSPI'25 (Riga) and AICS 2025 (DCU, Dublin).

Standards Development

AI Standards Gap Analysis — MDR & AI Act

Systematic identification of gaps between existing harmonised medical device standards and EU AI Act Annex I requirements for high-risk AI systems. Underpins contributions to CEN-CENELEC AI Task Groups 1 and 2 and IEC TC62 expert committee work.