New directions for deep learning in cancer research through concept explainability and virtual experimentation.

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Publications

Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound

Auteurs: Adil Oezsoy, James Alexander Brooks, Marko van Treeck, Yvonne Doerffel, Ulrike Morgera, Jens Berger, Marco Gustav, Oliver Lester Saldanha, Tom Luedde, Jakob Nikolas Kather, Tobias Paul Seraphin, Michael Kallenbach
Publié dans: Digestion, Numéro 106, 2025, ISSN 0012-2823
Éditeur: S. Karger AG
DOI: 10.1159/000545098

Artificial intelligence predicts outcome-related molecular profiles and vascular invasion in hepatocellular carcinoma

Auteurs: Tobias Paul Seraphin, Agavni Mesropian, Laura Žigutytė, James Brooks, Ezequiel Mauro, Albert Gris-Oliver, Roser Pinyol, Carla Montironi, Ugne Balaseviciute, Marta Piqué-Gili, Júlia Huguet-Pradell, Marko van Treeck, Michael Kallenbach, Anne Theres Schneider, Christoph Roderburg, Jakob Nikolas Kather, Tom Luedde, Josep M. Llovet
Publié dans: JHEP Reports, Numéro 7, 2025, ISSN 2589-5559
Éditeur: Elsevier BV
DOI: 10.1016/J.JHEPR.2025.101592

Established machine learning matches tabular foundation models in clinical predictions

Auteurs: Lawrence A. Shaktah, Marco Gustav, Tim Lenz, Junhao Liang, Lars Hilgers, Zunamys I. Carrero, Jakob Nikolas Kather
Publié dans: BMC Medical Informatics and Decision Making, 2026, ISSN 1472-6947
Éditeur: Springer Science and Business Media LLC
DOI: 10.1186/S12911-026-03654-3

A deep learning framework for efficient pathology image analysis

Auteurs: Peter Neidlinger, Tim Lenz, Sebastian Foersch, Chiara M. L. Loeffler, Jan Clusmann, Marco Gustav, Lawrence A. Shaktah, Rupert Langer, Bastian Dislich, Lisa A. Boardman, Amy J. French, Ellen L. Goode, Andrea Gsur, Stefanie Brezina, Marc J. Gunter, Robert Steinfelder, Hans-Michael Behrens, Christoph Röcken, Tabitha Harrison, Ulrike Peters, Amanda I. Phipps, Giuseppe Curigliano, Nicola Fusco, Antonio Marra, Michael Hoffmeister, Hermann Brenner, Jakob Nikolas Kather
Publié dans: Nature Communications, Numéro 17, 2026, ISSN 2041-1723
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41467-026-74918-9

HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer

Auteurs: Chiara M. L. Loeffler, Hideaki Bando, Srividhya Sainath, Hannah Sophie Muti, Xiaofeng Jiang, Marko van Treeck, Nic Gabriel Reitsam, Zunamys I. Carrero, Asier Rabasco Meneghetti, Tomomi Nishikawa, Toshihiro Misumi, Saori Mishima, Daisuke Kotani, Hiroya Taniguchi, Ichiro Takemasa, Takeshi Kato, Eiji Oki, Yuan Tanwei, Wankhede Durgesh, Sebastian Foersch, Hermann Brenner, Michael Hoffmeister, Yoshiaki Nakamura, Takayuki Yoshino, Jakob Nikolas Kather
Publié dans: Nature Communications, Numéro 16, 2025, ISSN 2041-1723
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41467-025-62910-8

Histopathological evaluation of abdominal aortic aneurysms with deep learning

Auteurs: Fiona R. Kolbinger, Omar S. M. El Nahhas, Maja Carina Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch, Jakob Nikolas Kather
Publié dans: Diagnostic Pathology, Numéro 20, 2025, ISSN 1746-1596
Éditeur: Springer Science and Business Media LLC
DOI: 10.1186/S13000-025-01684-5

IBDome: An Integrated Molecular, Histopathological, and Clinical Atlas of Inflammatory Bowel Diseases

Auteurs: Christina Plattner, Gregor Sturm, Anja A. Kühl, Raja Atreya, Sandro Carollo, Dietmar Rieder, Raphael Gronauer, Michael Günther, Steffen Ormanns, Claudia Manzl, Stefan Wirtz, Asier Rabasco Meneghetti, Ahmed N. Hegazy, Jay V. Patankar, Zunamys I. Carrero, Felix Grabherr, Moritz Meyer, Imke Atreya, Raja Atreya, Petra Bacher, Christoph Becker, Christian Bojarski, Nathalie Britzen-Laurent, Caroline Voskens, Hyun-Dong Chang, Andreas Diefenbach, Claudia Günther, Ahmed N. Hegazy, Kai Hildner, Christoph S.N. Klose, Kristina Koop, Susanne M. Krug, Anja A. Kühl, Moritz Leppkes, Rocío López-Posadas, Leif S. Ludwig, Clemens Neufert, Markus Neurath, Jay V. Patankar, Christina Plattner, Magdalena S. Prüß, Andreas Radbruch, Chiara Romagnani, Francesca Ronchi, Ashley D. Sanders, Alexander Scheffold, Jörg-Dieter Schulzke, Michael Schumann, Sebastian Schürmann, Britta Siegmund, Michael Stürzl, Zlatko Trajanoski, Antigoni Triantafyllopoulou, Maximilian Waldner, Carl Weidinger, Stefan Wirtz, Sebastian Zundler, Timon E. Adolph, Herbert Tilg, Markus F. Neurath, Jakob Nikolas Kather, Christoph Becker, Britta Siegmund, Zlatko Trajanoski
Publié dans: Gastroenterology, 2026, ISSN 0016-5085
Éditeur: Elsevier BV
DOI: 10.1053/J.GASTRO.2026.05.023

Machine learning for population-level risk prediction of future cholangiocarcinoma

Auteurs: Felix van Haag, Jan Clusmann, Paul-Henry Koop, Ryan Goodson, Ilya Tryakin, Shun-Ichi Wakabayashi, Tobias Seibel, Niharika Jakhar, Helen Ye Rim Huang, David Y. Zhang, Inuk Zandvakili, Takefumi Kimura, Nobuharu Tamaki, Arunkumar Krishnan, Pedro Miguel Rodrigues, Jesus Maria Banales, Alessio Gerussi, Anna Saborowski, Daniel Rader, Jakob Nikolas Kather, Kai Markus Schneider, Carolin Victoria Schneider
Publié dans: eBioMedicine, Numéro 131, 2026, ISSN 2352-3964
Éditeur: Elsevier BV
DOI: 10.1016/J.EBIOM.2026.106433

Spatial biomarker discovery via interpretable semantic learning in histopathology

Auteurs: Junhao Liang, Xiaofeng Jiang, Nic Gabriel Reitsam, Tim Lenz, Li Zhang, Marco Gustav, Zunamys Itzell Carrero, Hannah Sophie Muti, Peter Neidlinger, Jan Clusmann, Laura Žigutytė, Vidhya Sainath, Fabian Wolf, Lisa A. Boardman, Amy J. French, Ellen L. Goode, Andrea Gsur, Stefanie Brezina, Marc J. Gunter, Robert Steinfelder, Tabitha Harrison, Ulrike Peters, Amanda I. Phipps, Philip Quirke, Nicholas P. West, Michael Hoffmeister, Hermann Brenner, Durgesh Wankhede, Jitendra Jonnagaddala, Nicholas Hawkins, Robyn L. Ward, Elena Fountzilas, Kyriaki Papadopoulou, George Fountzilas, Thierry André, Julien Taieb, Jean-François Emile, Magali Svrcek, Lingjie Kong, Jakob Nikolas Kather
Publié dans: Cancer Cell, Numéro 44, 2026, ISSN 1535-6108
Éditeur: Elsevier BV
DOI: 10.1016/J.CCELL.2026.05.014

If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck

Auteurs: Max Ostermann, Oscar Freyer, F. Gerrik Verhees, Jakob Nikolas Kather, Stephen Gilbert
Publié dans: npj Digital Medicine, Numéro 8, 2025, ISSN 2398-6352
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41746-025-02175-Z

Towards autonomous medical artificial intelligence agents

Auteurs: Dyke Ferber, Lars Hilgers, Christiane Höper, Benedict Kinny-Köster, Jan-Niklas Eckardt, Katharina Egger-Heidrich, Marius Bill, Martin M. K. Schneider, Jan Clusmann, Lejla Kadric, Marcel Oehme, Maximilian Mayrhofer-Schmid, Alexander Oeser, Georg Wölflein, Isabella C. Wiest, Jan Moritz Middeke, A. John Iafrate, Daniel Truhn, Dirk Jäger, Jakob Nikolas Kather
Publié dans: Nature, Numéro 655, 2026, ISSN 0028-0836
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41586-026-10675-5

Deep Learning Predicts Mutations and Outcomes in Gastrointestinal Stromal Tumors

Auteurs: Arianna Bonetti, Van-Linh Le, Zunamys I. Carrero, Fabian Wolf, Marco Gustav, Suk Wai Lam, Lucile Vanhersecke, Pawel Sobczuk, François Le Loarer, Małgorzata Lenarcik, Piotr Rutkowski, Joris M. van Sabben, Neeltje Steeghs, Hester H. Van Boven, Isidro Machado, Silvia Bagué, Samuel Navarro, Emilio Medina-Ceballos, Carolina Agra-Pujol, Francisco Giner, Gustavo Tapia, Alba Hernández-Gallego, Gema Civantos-Jubera, Miriam Cuatrecasas, Sandra Lopez-Prades, Raul Perret, Isabelle Soubeyran, Emmanuel Khalifa, Laura Blouin, Eva Wardelmann, Alexandra Meurgey, Paola Collini, Artem Voloshin, Yasushi Yatabe, Hidekazu Hirano, Alessandro Gronchi, Toshirou Nishida, Olivier Bouche, Jean-Francois Emile, Carine Ngo, Peter Hohenberger, Cristina Cotarelo, Jens Jakob, Judith V.M.G. Bovee, Hans Gelderblom, Anna Szumera-Ciećkiewicz, Myriam Jean-Denis, Julien Bollard, Nathalie Lassau, Axel Le Cesne, Jean-Yves Blay, Antoine Italiano, Amandine Crombe, Jean-Michel Coindre, Jakob Nikolas Kather
Publié dans: Cancer Research, Numéro 86, 2026, ISSN 0008-5472
Éditeur: American Association for Cancer Research (AACR)
DOI: 10.1158/0008-5472.CAN-26-0132

clickBrick prompt engineering: optimizing large language model performance in clinical psychiatry

Auteurs: Falk Gerrik Verhees, Fabian Huth, Vincent Meyer, Fabian Wolf, Michael Bauer, Andrea Pfennig, Philipp Ritter, Jakob Nikolas Kather, Isabella Catharina Wiest, Pavol Mikolas
Publié dans: npj Mental Health Research, Numéro 5, 2026, ISSN 2731-4251
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S44184-026-00224-3

Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024

Auteurs: Laura Žigutytė, Thomas Sorz-Nechay, Jan Clusmann, Jakob Nikolas Kather
Publié dans: JHEP Reports, Numéro 6, 2024, ISSN 2589-5559
Éditeur: Elsevier BV
DOI: 10.1016/J.JHEPR.2024.101209

SCRIPT: Stratified clinical risk prediction from pathology reports using large language models

Auteurs: Chiara M.L. Loeffler, Nic G. Reitsam, Fabian Wolf, Esther H. Stueker, Hannah S. Muti, Isabella C. Wiest, Jakob Nikolas Kather
Publié dans: Journal of Pathology Informatics, Numéro 22, 2026, ISSN 2153-3539
Éditeur: Elsevier BV
DOI: 10.1016/J.JPI.2026.100673

How to bring generative AI to oncology practice

Auteurs: D. Truhn, J.N. Kather
Publié dans: ESMO Real World Data and Digital Oncology, Numéro 11, 2026, ISSN 2949-8201
Éditeur: Elsevier BV
DOI: 10.1016/J.ESMORW.2025.100679

Examining human-AI interaction in real-world healthcare beyond the laboratory

Auteurs: Magdalena Katharina Wekenborg, Stephen Gilbert, Jakob Nikolas Kather
Publié dans: npj Digital Medicine, Numéro 8, 2025, ISSN 2398-6352
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41746-025-01559-5

Prompt injection attacks on vision language models in oncology

Auteurs: Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather
Publié dans: Nature Communications, Numéro 16, 2025, ISSN 2041-1723
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41467-024-55631-X

Medical large language models are susceptible to targeted misinformation attacks

Auteurs: Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Müller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn
Publié dans: npj Digital Medicine, Numéro 7, 2024, ISSN 2398-6352
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41746-024-01282-7

Artificial Intelligence for Contrast-Enhanced Ultrasound of the Liver: A Systematic Review

Auteurs: James A. Brooks, Michael Kallenbach, Iuliana-Pompilia Radu, Annalisa Berzigotti, Christoph F. Dietrich, Jakob N. Kather, Tom Luedde, Tobias P. Seraphin
Publié dans: Digestion, Numéro 106, 2024, ISSN 0012-2823
Éditeur: S. Karger AG
DOI: 10.1159/000541540

The age of foundation models

Auteurs: Jana Lipkova, Jakob Nikolas Kather
Publié dans: Nature Reviews Clinical Oncology, Numéro 21, 2024, ISSN 1759-4774
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41571-024-00941-8

Multimodal histopathologic models stratify hormone receptor-positive early breast cancer

Auteurs: Kevin M. Boehm, Omar S. M. El Nahhas, Antonio Marra, Michele Waters, Justin Jee, Lior Braunstein, Nikolaus Schultz, Pier Selenica, Hannah Y. Wen, Britta Weigelt, Evan D. Paul, Pavol Cekan, Ramona Erber, Chiara M. L. Loeffler, Elena Guerini-Rocco, Nicola Fusco, Chiara Frascarelli, Eltjona Mane, Elisabetta Munzone, Silvia Dellapasqua, Paola Zagami, Giuseppe Curigliano, Pedram Razavi, Jorge S. Reis-Filho, Fresia Pareja, Sarat Chandarlapaty, Sohrab P. Shah, Jakob Nikolas Kather
Publié dans: Nature Communications, Numéro 16, 2025, ISSN 2041-1723
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41467-025-57283-X

Clinician expertise and prompt engineering enhance cancer information extraction in electronic health records by small language models

Auteurs: Federica Corso, Vittoria Peppoloni, Laura Mazzeo, Giuseppe Leone, Luana Passos, Vanja Mišković, Justin Armanini, Alberto Ferrarin, Isabella Catharina Wiest, Fabian Wolf, Giulia Montelatici, Rebecca Romanò, Paolo Ambrosini, Tommaso Capoccia, Stefano Natangelo, Simone Rota, Paola Andena, Marta De Ponti, Alessandra Russo, Giulia Stasi, Leonardo Provenzano, Andrea Spagnoletti, Marco Meazza Prina, Chiara Cavalli, Claudia Giani, Roberta Serino, Michele Borracino, Chiara Bonalume, Rosa Maria Di Mauro, Claudia Agosta, Andra Diana Dumitrascu, Giorgia Di Liberti, Giulia Corrao, Teresa Beninato, Monica Ganzinelli, Mario Occhipinti, Marta Brambilla, Claudia Proto, Jakob Nikolas Kather, Alessandra Laura Giulia Pedrocchi, Filippo De Braud, Giuseppe Lo Russo, Paolo Baili, Arsela Prelaj
Publié dans: Communications Medicine, 2026, ISSN 2730-664X
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S43856-026-01790-5

<scp>HISTAI</scp> : a valuable dataset with a valuable lesson

Auteurs: Katherine J Hewitt, Nic G Reitsam, Sebastian Foersch, Ramona Erber, Qinghe Zeng, Jakob Nikolas Kather
Publié dans: The Journal of Pathology: Clinical Research, Numéro 12, 2026, ISSN 2056-4538
Éditeur: Wiley
DOI: 10.1002/2056-4538.70089

Large language models as experimental systems in human psychopathology: a modelling study

Auteurs: Magdalena Katharina Wekenborg, Elizabeth Anna Mathilde Michels, Georg Kurze, Matti Lasse Kropp, Fabian Wolf, Josi Harzbecker, Isabella C Wiest, Jakob Nikolas Kather
Publié dans: The Lancet Digital Health, Numéro 8, 2026, ISSN 2589-7500
Éditeur: Elsevier BV
DOI: 10.1016/J.LANDIG.2026.101014

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

Auteurs: Gesa Mittmann, Sara Laiouar-Pedari, Hendrik A. Mehrtens, Sarah Haggenmüller, Tabea-Clara Bucher, Tirtha Chanda, Nadine T. Gaisa, Mathias Wagner, Gilbert Georg Klamminger, Tilman T. Rau, Christina Neppl, Eva Maria Compérat, Andreas Gocht, Monika Haemmerle, Niels J. Rupp, Jula Westhoff, Irene Krücken, Maximilian Seidl, Christian M. Schürch, Marcus Bauer, Wiebke Solass, Yu Chun Tam, Florian Weber, Rainer Grobholz, Jaroslaw Augustyniak, Thomas Kalinski, Christian Hörner, Kirsten D. Mertz, Constanze Döring, Andreas Erbersdobler, Gabriele Deubler, Felix Bremmer, Ulrich Sommer, Michael Brodhun, Jon Griffin, Maria Sarah L. Lenon, Kiril Trpkov, Liang Cheng, Fei Chen, Angelique Levi, Guoping Cai, Tri Q. Nguyen, Ali Amin, Alessia Cimadamore, Ahmed Shabaik, Varsha Manucha, Nazeel Ahmad, Nidia Messias, Francesca Sanguedolce, Diana Taheri, Ezra Baraban, Liwei Jia, Rajal B. Shah, Farshid Siadat, Nicole Swarbrick, Kyung Park, Oudai Hassan, Siamak Sakhaie, Michelle R. Downes, Hiroshi Miyamoto, Sean R. Williamson, Tim Holland-Letz, Christoph Wies, Carolin V. Schneider, Jakob Nikolas Kather, Yuri Tolkach, Titus J. Brinker
Publié dans: Nature Communications, Numéro 16, 2025, ISSN 2041-1723
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41467-025-64712-4

Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology

Auteurs: Laura Žigutytė, Tim Lenz, Tianyu Han, Nic G. Reitsam, Sebastian Foersch, Katherine J. Hewitt, Moritz Jesinghaus, Zunamys I. Carrero, Michaela Unger, Asier Rabasco Meneghetti, Georg Lurje, Isabella Lurje, Sophia Herda, Justus Pein, Deniz Uluk, Carolin V. Schneider, Alexander T. Pearson, Daniel Truhn, Jakob Nikolas Kather
Publié dans: Cancer Research, 2026, ISSN 0008-5472
Éditeur: American Association for Cancer Research (AACR)
DOI: 10.1158/0008-5472.CAN-25-5645

Hallucination filtering in radiology vision-language models using discrete semantic entropy

Auteurs: Patrick Wienholt, Sophie Caselitz, Robert Siepmann, Philipp Bruners, Keno Bressem, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
Publié dans: European Radiology, Numéro 36, 2026, ISSN 1432-1084
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/S00330-026-12384-Z

Agentic AI for interdisciplinary clinical decision support in high-stakes care

Auteurs: Fiona R. Kolbinger, Jakob Nikolas Kather
Publié dans: JHEP Reports, Numéro 8, 2026, ISSN 2589-5559
Éditeur: Elsevier BV
DOI: 10.1016/J.JHEPR.2026.101871

Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutions

Auteurs: Fiona R. Kolbinger, Max Kirchner, Kevin Pfeiffer, Sebastian Bodenstedt, Alexander C. Jenke, Julia Barthel, Matthias Carstens, Karolin Dehlke, Sophia Dietz, Sotirios Emmanouilidis, Guido Fitze, Martin Freitag, Fabian Holderried, Thorsten Jacobi, Weam Kanjo, Linda Leitermann, Sören Torge Mees, Steffen Pistorius, Conrad Prudlo, Astrid Seiberth, Jurek Schultz, Karolin Thiel, Daniel Ziehn, Stefanie Speidel, Jürgen Weitz, Jakob Nikolas Kather, Marius Distler, Oliver Lester Saldanha
Publié dans: Scientific Data, Numéro 13, 2026, ISSN 2052-4463
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41597-026-07593-6

Artificial intelligence-based biomarkers for treatment decisions in oncology

Auteurs: Marta Ligero, Omar S.M. El Nahhas, Mihaela Aldea, Jakob Nikolas Kather
Publié dans: Trends in Cancer, Numéro 11, 2025, ISSN 2405-8033
Éditeur: Elsevier BV
DOI: 10.1016/J.TRECAN.2024.12.001

Privacy-preserving large language models for structured medical information retrieval

Auteurs: Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, Zunamys I. Carrero, Daniel Paech, Jens Kleesiek, Matthias P. Ebert, Daniel Truhn, Jakob Nikolas Kather
Publié dans: npj Digital Medicine, Numéro 7, 2024, ISSN 2398-6352
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41746-024-01233-2

Detection of esophageal varices and prediction of hepatic decompensation in unresectable hepatocellular carcinoma using AI

Auteurs: Asier Rabasco Meneghetti, Claudia Campani, Charles Roux, Zunamys I. Carrero, Dan-Adrian Popica, Giuliana Amaddeo, Marie Lequoy, Clémence Hollande, Sarah Mouri, Mathilde Wagner, Vincent Plaforet, Sabrina Sidali, Maxime Ronot, Marika Rudler, Alain Luciani, Olivier Sutter, Eleonore Spitzer, Hélène Regnault, Sanaâ El Mouhadi, Violaine Ozenne, Nathalie Ganne-Carrié, Mohamed Bouattour, Jean Charles Nault, Dominique Thabut, Jakob Nikolas Kather, Manon Allaire
Publié dans: Journal of Hepatology, Numéro 84, 2026, ISSN 0168-8278
Éditeur: Elsevier BV
DOI: 10.1016/J.JHEP.2026.01.021

Deep learning in cancer genomics and histopathology

Auteurs: Michaela Unger, Jakob Nikolas Kather
Publié dans: Genome Medicine, Numéro 16, 2024, ISSN 1756-994X
Éditeur: Springer Science and Business Media LLC
DOI: 10.1186/S13073-024-01315-6

Generalizable and explainable deep learning for brain MRI: a multi-cohort evaluation of 3D architectures for age and sex prediction

Auteurs: Radhika Juglan, Marta Ligero, Zunamys I. Carrero, Asier Rabasco Meneghetti, Tim Lenz, Leo Misera, Gregory Patrick Veldhuizen, Paul Kuntke, Hagen H. Kitzler, Sven Nebelung, Daniel Truhn, Jakob Nikolas Kather
Publié dans: Brain Informatics, Numéro 13, 2026, ISSN 2198-4018
Éditeur: Springer Science and Business Media LLC
DOI: 10.1186/S40708-026-00316-Y

Detection of suicidality from medical text using privacy-preserving large language models

Auteurs: Isabella Catharina Wiest, Falk Gerrik Verhees, Dyke Ferber, Jiefu Zhu, Michael Bauer, Ute Lewitzka, Andrea Pfennig, Pavol Mikolas, Jakob Nikolas Kather
Publié dans: The British Journal of Psychiatry, Numéro 225, 2024, ISSN 0007-1250
Éditeur: Royal College of Psychiatrists
DOI: 10.1192/BJP.2024.134

End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning

Auteurs: Asier Rabasco Meneghetti, Marta Ligero Hernández, Jens-Peter Kühn, Steffen Löck, Zunamys Itzell Carrero, Raquel Perez-Lopez, Keno K. Bressem, Titus J. Brinker, Alexander T. Pearson, Daniel Truhn, Sven Nebelung, Jakob Nikolas Kather
Publié dans: BMC Artificial Intelligence, Numéro 1, 2025, ISSN 3005-1924
Éditeur: Springer Science and Business Media LLC
DOI: 10.1186/S44398-025-00003-8

RadioRAG: Online Retrieval–Augmented Generation for Radiology Question Answering

Auteurs: Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno Bressem, Robert Siepmann, Lisa Adams, Dyke Ferber, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
Publié dans: Radiology: Artificial Intelligence, Numéro 7, 2025, ISSN 2638-6100
Éditeur: Radiological Society of North America (RSNA)
DOI: 10.1148/RYAI.240476

Machine Learning Predicts Hepatocellular Carcinoma Risk from Routine Clinical Data: A Large Population-Based Multicentric Study

Auteurs: Jan Clusmann, Paul-Henry Koop, David Y. Zhang, Felix van Haag, Omar S.M. El Nahhas, Tobias Seibel, Laura Žigutytė, Apichat Kaewdech, Julien Calderaro, Frank Tacke, Tom Luedde, Daniel Truhn, Tony Bruns, Kai Markus Schneider, Jakob Nikolas Kather, Carolin V. Schneider
Publié dans: Cancer Discovery, Numéro 16, 2026, ISSN 2159-8274
Éditeur: American Association for Cancer Research (AACR)
DOI: 10.1158/2159-8290.CD-25-1323

The barriers to uptake of artificial intelligence in hepatology and how to overcome them

Auteurs: Jan Clusmann, Maria Balaguer-Montero, Octavi Bassegoda, Carolin V. Schneider, Tobias Seraphin, Ellis Paintsil, Tom Luedde, Raquel Perez Lopez, Julien Calderaro, Stephen Gilbert, Thomas Marjot, Ashley Spann, Debbie L. Shawcross, Sabela Lens, Eric Trépo, Jakob Nikolas Kather
Publié dans: Journal of Hepatology, Numéro 83, 2025, ISSN 0168-8278
Éditeur: Elsevier BV
DOI: 10.1016/J.JHEP.2025.07.003

SwarmMAP: swarm learning for decentralized cell type annotation in single cell sequencing data

Auteurs: Oliver Lester Saldanha, Vivien Goepp, Kevin Pfeiffer, Hyojin Kim, Jie Fu Zhu, Rafael Kramann, Sikander Hayat, Jakob Nikolas Kather
Publié dans: npj Systems Biology and Applications, Numéro 12, 2026, ISSN 2056-7189
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41540-026-00667-6

Artificial intelligence-based biomarkers for treatment decisions in oncology

Prompt injection attacks on vision-language models for surgical decision support

Auteurs: Zheyuan Zhang, Muhammad Ibtsaam Qadir, Matthias Carstens, Evan Hongyang Zhang, Madison Sarah Loiselle, Farren Marc Martinus, Maksymilian Ksawier Mroczkowski, Jan Clusmann, Jakob Nikolas Kather, Fiona R. Kolbinger
Publié dans: npj Digital Surgery, Numéro 1, 2026, ISSN 3091-2806
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S44484-026-00014-6

Deep learning can predict cardiovascular events from liver imaging

Auteurs: Gregory Patrick Veldhuizen, Tim Lenz, Didem Cifci, Marko van Treeck, Jan Clusmann, Yazhou Chen, Carolin V. Schneider, Tom Luedde, Peter W. de Leeuw, Ali El-Armouche, Daniel Truhn, Jakob Nikolas Kather
Publié dans: JHEP Reports, Numéro 7, 2025, ISSN 2589-5559
Éditeur: Elsevier BV
DOI: 10.1016/J.JHEPR.2025.101427

Benchmarking foundation models as feature extractors for weakly supervised computational pathology

Auteurs: Peter Neidlinger, Omar S. M. El Nahhas, Hannah Sophie Muti, Tim Lenz, Michael Hoffmeister, Hermann Brenner, Marko van Treeck, Rupert Langer, Bastian Dislich, Hans Michael Behrens, Christoph Röcken, Sebastian Foersch, Daniel Truhn, Antonio Marra, Oliver Lester Saldanha, Jakob Nikolas Kather
Publié dans: Nature Biomedical Engineering, 2025, ISSN 2157-846X
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41551-025-01516-3

Deep Learning Reveals Liver MRI Features Associated With <i>PNPLA3</i> I148M in Steatotic Liver Disease

Auteurs: Yazhou Chen, Benjamin P. M. Laevens, Teresa Lemainque, Gustav Anton Müller‐Franzes, Tobias Seibel, Carola Dlugosch, Jan Clusmann, Paul‐Henry Koop, Rongpeng Gong, Yuanyuan Liu, Niharika Jakhar, Feng Cao, Simon Schophaus, Thriveni Basavanapura Raju, Anastasia Artemis Raptis, Felix van Haag, Joel Joy, Rohit Loomba, Luca Valenti, Jakob Nikolas Kather, Titus J. Brinker, Moritz Herzog, Ivan G. Costa, Diego Hernando, Kai Markus Schneider, Daniel Truhn, Carolin V. Schneider
Publié dans: Liver International, Numéro 45, 2025, ISSN 1478-3223
Éditeur: Wiley
DOI: 10.1111/LIV.70164

AI-based selection of tumor regions for genomic profiling in neuropathology

Auteurs: Narmin Ghaffari Laleh, Lukas Friedrich, Fuat Kaan Aras, Katherine J Hewitt, Leonille Schweizer, Zunamys I Carrero, Dilan Savran, Daniel Haag, Silvia Barbosa, Felix Sahm, Jakob Nikolas Kather
Publié dans: Neuro-Oncology Advances, Numéro 8, 2026, ISSN 2632-2498
Éditeur: Oxford University Press (OUP)
DOI: 10.1093/NOAJNL/VDAG157

A software pipeline for medical information extraction with large language models, open source and suitable for oncology

Auteurs: Isabella Catharina Wiest, Fabian Wolf, Marie-Elisabeth Leßmann, Marko van Treeck, Dyke Ferber, Jiefu Zhu, Heiko Boehme, Keno K. Bressem, Hannes Ulrich, Matthias P. Ebert, Jakob Nikolas Kather
Publié dans: npj Precision Oncology, Numéro 9, 2025, ISSN 2397-768X
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41698-025-01103-4

Multimodal analysis of whole slide images in colorectal cancer

Auteurs: Jitendra Jonnagaddala, Miljana Shulajkovska, Anton Gradišek, Toni Rose Jue, Qifeng Zhou, Yuzhi Guo, Jamil Mahmoud El Chayeb, Ruijiang Li, Jana Lipkova, Jakob Nikolas Kather, Junzhou Huang
Publié dans: npj Digital Medicine, Numéro 8, 2025, ISSN 2398-6352
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41746-025-02095-Y

Large language models as a diagnostic support tool in neuropathology

Auteurs: Katherine J Hewitt, Isabella C Wiest, Zunamys I Carrero, Laura Bejan, Thomas O Millner, Sebastian Brandner, Jakob Nikolas Kather
Publié dans: The Journal of Pathology: Clinical Research, Numéro 10, 2024, ISSN 2056-4538
Éditeur: Wiley
DOI: 10.1002/2056-4538.70009

Clinical decision support in hematological malignancies using a case-grounded AI agent

Auteurs: Julian Zoller, Michael Kalz, Xuewei Wu, Sven Cuntz, Linus Kruk, Niklas Kehl, Julius J. Michel, Cornelius Funk, Sarah Richter, Tobias Tix, David Sedloev, Jonathan Naboschni, Jan H. Frenking, Silvia Barbosa, Oliver L. Saldanha, Alanna Kirschner, Anna D. Metzler, Antonia Schach, René Onken, Tim R. Wagner, Martin Dugas, Andreas Trumpp, Martin Dreyling, Michael von Bergwelt-Baildon, Kai Rejeski, Tim Sauer, Peter Dreger, Marc S. Raab, Carsten Müller-Tidow, Jakob N. Kather, Mirco J. Friedrich
Publié dans: Nature Medicine, 2026, ISSN 1078-8956
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41591-026-04494-4

Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2

Auteurs: Leo Misera, Sven Nebelung, Zunamys I. Carrero, Keno Bressem, Marta Ligero, Jens-Peter Kühn, Ralf-Thorsten Hoffmann, Daniel Truhn, Jakob Nikolas Kather
Publié dans: BMC Medical Imaging, Numéro 26, 2026, ISSN 1471-2342
Éditeur: Springer Science and Business Media LLC
DOI: 10.1186/S12880-025-02075-4

Benchmarking large language model-based agent systems for clinical decision tasks

Auteurs: Yunsong Liu, Zunamys I. Carrero, Xiaofeng Jiang, Dyke Ferber, Georg Wölflein, Li Zhang, Sanddhya Jayabalan, Tim Lenz, Zhouguang Hui, Jakob Nikolas Kather
Publié dans: npj Digital Medicine, Numéro 9, 2026, ISSN 2398-6352
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41746-026-02443-6

Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions

Auteurs: Jean-Paul Bereuter, Mark Enrik Geissler, Anna Klimova, Robert-Patrick Steiner, Kevin Pfeiffer, Fiona R. Kolbinger, Isabella C. Wiest, Hannah Sophie Muti, Jakob Nikolas Kather
Publié dans: Journal of Surgical Education, Numéro 82, 2025, ISSN 1931-7204
Éditeur: Elsevier BV
DOI: 10.1016/J.JSURG.2025.103442

Large language models could make natural language again the universal interface of healthcare

Auteurs: Jakob Nikolas Kather, Dyke Ferber, Isabella C. Wiest, Stephen Gilbert, Daniel Truhn
Publié dans: Nature Medicine, Numéro 30, 2024, ISSN 1078-8956
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41591-024-03199-W

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