Manolis Tsiknakis

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2025 · 218 Zit. · BMJ

Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

2023 · 70 Zit. · European Radiology Experimental

Donor’s support tool: Enabling informed secondary use of patient’s biomaterial and personal data

2016 · 39 Zit. · International Journal of Medical Informatics

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2023 · 38 Zit. · arXiv (Cornell University)

Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper

2022 · 30 Zit. · Insights into Imaging

Documenting the de-identification process of clinical and imaging data for AI for health imaging projects

2024 · 17 Zit. · Insights into Imaging

Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure

2025 · 16 Zit. · Insights into Imaging

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

2021 · 12 Zit. · arXiv (Cornell University)

Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!

2025 · 7 Zit. · European Radiology Experimental

Foundation models for radiology—the position of the AI for Health Imaging (AI4HI) network

2025 · 7 Zit. · Insights into Imaging

Data Ingestion for AI in Prostate Cancer

2022 · 5 Zit. · Studies in health technology and informatics

AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency^*

2023 · 2 Zit.

A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines

2025 · 2 Zit. · IEEE Journal of Biomedical and Health Informatics

AI Model Passport: Data and system traceability framework for transparent AI in health

2025 · 2 Zit. · Computational and Structural Biotechnology Journal

Rethinking Privacy in Medical Imaging AI: From Metadata and Pixel-Level Identification Risks to Federated Learning and Synthetic Data Challenges

2025 · 1 Zit. · Radiology Artificial Intelligence