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AI in Radiological Imaging of Soft-Tissue and Bone Tumours: A Systematic Review Evaluating Against CLAIM and FUTURE-AI Guidelines
Tremendous effort of our sarcoma PhD team to review over 300 (!) papers on AI for STBT, indicating substantial gaps towards implementation in clinical practice and insights how to get there!
Douwe J. Spaanderman, Matthew Marzetti, Xinyi Wan, Andrew F. Scarsbrook, Philip Robinson, Edwin H. G. Oei, Jacob J. Visser, Robert Hemke, Kirsten van Langevelde, David F. Hanff, Geert J. L. H. van Leenders, Cornelis Verhoef, Dirk J. Grünhagen, Wiro J. Niessen, Stefan Klein, Martijn P. A. Starmans
AI in Radiological Imaging of Soft-Tissue and Bone Tumours: A Systematic Review Evaluating Against CLAIM and FUTURE-AI Guidelines
A Large-Scale Multicenter Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations
Lidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier del Riego, Alessandro Catanese, Katarzyna Gwoździewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oğuz Lafcı, Ritse Mann, Carlos Martín-Isla, Fred Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir
FUTURE-AI: International Consensus Guideline for Trustworthy and Deployable Artificial Intelligence in Healthcare
Very proud of our first large international consensus guideline on trustworthy AI!
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras, Ben Glocker, Celia Cintas, Curtis P. Langlotz, Eva Weicken, Folkert W. Asselbergs, Fred Prior, Gary S. Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia A. Schnabel, Kaisar Kushibar, Katrine Riklund, Kostas Marias, Lameck M. Amugongo, Lauren A. Fromont, Lena Maier-Hein, Leonor Cerdá Alberich, Luis Marti-Bonmati, M. Jorge Cardoso, Maciej Bobowicz, Mahsa Shabani, Manolis Tsiknakis, Maria A. Zuluaga, Marie-Christine Fritzsche, Marina Camacho, Marius George Linguraru, Markus Wenzel, Marleen De Bruijne, Martin G. Tolsgaard, Melanie Goisauf, Mónica Cano Abadía, Nikolaos Papanikolaou, Noussair Lazrak, Oriol Pujol, Richard Osuala, Sandy Napel, Sara Colantonio, Smriti Joshi, Stefan Klein, Susanna Aussó, Wendy A. Rogers, Zohaib Salahuddin, Martijn P. A. Starmans
FUTURE-AI: International Consensus Guideline for Trustworthy and Deployable Artificial Intelligence in Healthcare
Size Matters: Early Progression of Melanoma Brain Metastases after Treatment with Immune Checkpoint Inhibitors
S H A E Derks, L S Ho, S R Koene, M P A Starmans, E Oomen-de Hoop, A Joosse, M J A de Jonge, K A T Naipal, J L M Jongen, M J Van den Bent, M Smits, A A M van der Veldt
ESR Essentials: How to Get to Valuable Radiology AI: The Role of Early Health Technology Assessment—Practice Recommendations by the European Society of Medical Imaging Informatics
Very proud of the first paper of PhD candidate Erik Kemper! This paper advocates for value-based development of AI tools in radiology, emphasizing that their limited clinical adoption stems from issues of usefulness and trust. By incorporating early health technology assessments (HTA) into the AI tool lifecycle, this study shows how a systematic evaluation can enhance clinical relevance and facilitate adoption into practice.
Erik H. M. Kemper, Hendrik Erenstein, Bart-Jan Boverhof, Ken Redekop, Anna E. Andreychenko, Matthias Dietzel, Kevin B. W. Groot Lipman, Merel Huisman, Michail E. Klontzas, Frans Vos, Maarten IJzerman, Martijn P. A. Starmans, Jacob J. Visser
ESR Essentials: How to Get to Valuable Radiology AI: The Role of Early Health Technology Assessment—Practice Recommendations by the European Society of Medical Imaging Informatics
Multi-center External Validation of an Automated Method Segmenting and Differentiating Atypical Lipomatous Tumors from Lipomas Using Radiomics and Deep-learning on MRI
Very proud of the first paper of PhD candidate Douwe Spaanderman! This study externally and prospectively validated a radiomics model for differentiating lipomas from atypical lipomatous tumors (ALTs) on MRI, incorporating automatic and minimally interactive segmentation methods to improve clinical feasibility. The model demonstrated strong diagnostic performance across three large cohorts, achieving AUCs of up to 0.89 and performing comparably to expert radiologists, potentially reducing the need for biopsies.
Douwe J. Spaanderman, S. N. Hakkesteegt, D. F. Hanff, A. R. W. Schut, L. M. Schiphouwer, M. Vos, C. Messiou, S. J. Doran, R. L. Jones, A. J. Hayes, L. Nardo, Y. G. Abdelhafez, A. W. Moawad, K. M. Elsayes, S. Lee, T. M. Link, W. J. Niessen, G. J. L. H. van Leenders, J. J. Visser, S. Klein, D. J. Grunhagen, C. Verhoef, Martijn P. A. Starmans
Multi-center External Validation of an Automated Method Segmenting and Differentiating Atypical Lipomatous Tumors from Lipomas Using Radiomics and Deep-learning on MRI
Automated Assessment of T2-Weighted MRI to Differentiate Malignant and Benign Primary Solid Liver Lesions in Noncirrhotic Livers Usiong Radiomics
Martijn P. A. Starmans, Razvan L. Miclea, Valerie Vilgrain, Maxime Ronot, Yvonne Purcell, Jef Verbeek, Wiro J. Niessen, Jan N. M. Ijzermans, Rob A. de Man, Michail Doukas, Stefan Klein, Maarten G. Thomeer
Classifying Histopathological Growth Patterns for Resected Colorectal Liver Metastasis with a Deep Learning Analysis
Diederik J Höppener, Witali Aswolinskiy, Zhen Qian, David Tellez, Pieter M. H. Nierop, M. P. A. Starmans, Iris D. Nagtegaal, Michail Doukas, Johannes H. W. de Wilt, Dirk J. Grünhagen, Jeroen A. W. M. van der Laak, Peter Vermeulen, Francesco Ciompi, Cornelis Verhoef
Comprehensive characterization of circulating tumor cells and cell-free DNA in patients with metastatic melanoma
Manouk K. Bos, Jaco Kraan, Martijn P. A. Starmans, Jean C. A. Helmijr, Noortje Verschoor, Maja J. A. De Jonge, Arjen Joosse, Astrid A. M. van der Veldt, Peter A. W. te Boekhorst, John W. M. Martens, Stefan Sleijfer, Saskia M. Wilting
HTA183 A General Framework for Early Health Technology Assessment (eHTA) to Support the Development of New Radiology Artificial Intelligence (AI) Tools
E. Kemper, K. Redekop, F. Vos, M. IJzerman, M. P. A. Starmans, J. J. Visser
Last updated on Mar 14, 2025