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Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages
Great study to systematically benchmark various LLMs and prompting strategies to extract structured information from radiological and pathological reports across six use cases and multiple languages. These findings show that open-weight LLMs can extract structured data from clinical reports across diseases, languages, and institutions, offering a scalable approach for clinical data curation.
Douwe J. Spaanderman, Karthik Prathaban, Petr Zelina, Kaouther Mouheb, Lukáš Hejtmánek, Matthew Marzetti, Antonius W. Schurink, Damian Chan, Ruben Niemantsverdriet, Frederik Hartmann, Zhen Qian, Maarten G. J. Thomeer, Petr Holub, Farhan Akram, Frank J. Wolters, Meike W. Vernooij, Cornelis Verhoef, Esther E. Bron, Vít Nováček, Dirk J. Grünhagen, Wiro J. Niessen, Martijn P. A. Starmans, Stefan Klein
Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages
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
A review of methods for trustworthy AI in medical imaging: The FUTURE-AI Guidelines
Haridimos Kondylakis, Richard Osuala, Xénia Puig-Bosch, Noussair Lazrak, Oliver Díaz, Kaisar Kushibar, Ioanna Chouvarda, Stefanie Charalambous, Martijn P. A. Starmans, Sara Colantonio, Nikos Tachos, Smriti Joshi, Henry C. Woodruff, Zohaib Salahuddin, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Nickolas Papanikolaou, Philippe Lambin, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis, Luis Marti-Bonmati, Karim Lekadir
Classification of chronic pain and spinal cord stimulation response using machine learning in magnetoencephalography data
Bart Witjes, Martijn P. A. Starmans, Frank J. P. M. Huygen, Cecile C. de Vos
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
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
Evaluation of Diagnostic Accuracy of Preoperative CT-Based Radiomics in Primary Retroperitoneal Sarcoma
Fabio Tirotta, Anne-Rose W. Schut, Demi Wemmers, Stefan Klein, Jacob J. Visser, David F. Hanff, Marielle Olsthoorn, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Winan J. van Houdt, Cornelis Verhoef, Martijn P. A. Starmans
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
Therapy Response Prediction in Patients with Metastatic Soft Tissue Sarcomas Using CT-based Delta Radiomics
Frederik Hartmann, Christianne Jansma, Manon Verburg, David Hanff, Wiro J. Niessen, Geert J. L. H. van Leenders, Cornelis Verhoef, Enrico Martin, Stefan Klein, Dirk J. Grünhagen, Martijn P. A. Starmans, Douwe J. Spaanderman