Examining human-AI interaction in real-world healthcare beyond the laboratory by Magdalena Katharina Wekenborg, Stephen Gilbert, Jakob Nikolas Kather

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Erratum to ‘Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024’ [JHEP Reports (2024) doi https://doi.org/10.1016/j.jhepr.2024.101209] by Laura Žigutytė, Thomas Sorz-Nechay, Jan Clusmann, Jakob Nikolas Kather

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Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024Keypoints by Laura Žigutytė, Thomas Sorz-Nechay, Jan Clusmann, Jakob Nikolas Kather

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Benchmarking vision-language models for diagnostics in emergency and critical care settings by Christoph F. Kurz, Tatiana Merzhevich, Bjoern M. Eskofier, Jakob Nikolas Kather, Benjamin Gmeiner

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Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2 by Gustav Müller-Franzes, Firas Khader, Robert Siepmann, Tianyu Han, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn

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How machine learning on real world clinical data improves adverse event recording for endoscopy by Stefan Wittlinger, Isabella C. Wiest, Mahboubeh Jannesari Ladani, Jakob Nikolas Kather, Matthias P. Ebert, Fabian Siegel, Sebastian Belle

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Large language models as a diagnostic support tool in neuropathology by Katherine J Hewitt, Isabella C Wiest, Zunamys I Carrero, Laura Bejan, Thomas O Millner, Sebastian Brandner, Jakob Nikolas Kather

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Large language model use in clinical oncology by Nicolas Carl, Franziska Schramm, Sarah Haggenmüller, Jakob Nikolas Kather, Martin J. Hetz, Christoph Wies, Maurice Stephan Michel, Frederik Wessels, Titus J. Brinker

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In-context learning enables multimodal large language models to classify cancer pathology images by Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, Omar S. M. El Nahhas, Gustav Müller-Franzes, Dirk Jäger, Daniel Truhn, Jakob Nikolas Kather

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Deep learning can predict cardiovascular events from liver imaging by 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

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Comparing Patient’s Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists by Nicolas Carl, Lisa Nguyen, Sarah Haggenmüller, Martin Joachim Hetz, Jana Theres Winterstein, Friedrich Otto Hartung, Britta Gruene, Jakob Nikolas Kather, Tim Holland-Letz, Maurice Stephan Michel, Frederik Wessels, Titus Josef Brinker

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Current applications and challenges in large language models for patient care: a systematic review by Felix Busch, Lena Hoffmann, Christopher Rueger, Elon HC van Dijk, Rawen Kader, Esteban Ortiz-Prado, Marcus R. Makowski, Luca Saba, Martin Hadamitzky, Jakob Nikolas Kather, Daniel Truhn, Renato Cuocolo, Lisa C. Adams, Keno K. Bressem

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Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine by Hanna M. Hieromnimon, James Dolezal, Kristina Doytcheva, Frederick M. Howard, Sara Kochanny, Zhenyu Zhang, Robert L. Grossman, Kevin Tanager, Cindy Wang, Jakob Nikolas Kather, Evgeny Izumchenko, Nicole A. Cipriani, Elana J. Fertig, Alexander T. Pearson, Samantha J. Riesenfeld

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Identification and external validation of tumor DNA methylation panel for the recurrence risk stratification of stage II colon cancer by Tanwei Yuan, Dominic Edelmann, Víctor Moreno, Elisabeth Georgii, Lisa Barros de Andrade e Sousa, Helena Pelin, Xiaofeng Jiang, Jakob Nikolas Kather, Katrin E. Tagscherer, Wilfried Roth, Melanie Bewerunge-Hudler, Alexander Brobeil, Matthias Kloor, Hendrik Bläker, Hermann Brenner, Michael Hoffmeister

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Large language models-enabled digital twins for precision medicine in rare gynecological tumors by Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin, Sonja Mathes, Tobias Dreyer, Luise Modersohn, Patrick Metzger, Dyke Ferber, Jakob Nikolas Kather, Daniel Truhn, Lisa Christine Adams, Keno Kyrill Bressem, Sebastian Lange, Kristina Schwamborn, Martin Boeker, Marion Kiechle, Ulrich A. Schatz, Holger Bronger, Maximilian Tschochohei

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Galar - a large multi-label video capsule endoscopy dataset by Maxime Le Floch, Fabian Wolf, Lucian McIntyre, Christoph Weinert, Albrecht Palm, Konrad Volk, Paul Herzog, Sophie Helene Kirk, Jonas L. Steinhäuser, Catrein Stopp, Mark Enrik Geissler, Moritz Herzog, Stefan Sulk, Jakob Nikolas Kather, Alexander Meining, Alexander Hann, Steffen Palm, Jochen Hampe, Nora Herzog, Franz Brinkmann

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Advances in the understanding and therapeutic manipulation of cancer immune responsiveness: a Society for Immunotherapy of Cancer (SITC) review by Francesco M Marincola, Alessandra Cesano, Yana G Najjar, Davide Bedognetti, Marco Ruella, Sarah Warren, Christine Spencer, Elad Ziv, Tomas Kirchhoff, Jennifer McQuade, Tullia C Bruno, Jakob Nikolas Kather, Allison Betof Warner, Christian Hammer, Alberto Carturan, Ryan Augustin, Rhine Shen, Winson S Ho, Rongze O Lu, Luigi Barrea, Violena Pietrobon, Laura Soldati

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Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study by Tirtha Chanda, Sarah Haggenmueller, Tabea-Clara Bucher, Tim Holland-Letz, Harald Kittler, Philipp Tschandl, Markus V. Heppt, Carola Berking, Jochen S. Utikal, Bastian Schilling, Claudia Buerger, Cristian Navarrete-Dechent, Matthias Goebeler, Jakob Nikolas Kather, Carolin V. Schneider, Benjamin Durani, Hendrike Durani, Martin Jansen, Juliane Wacker, Joerg Wacker, Reader Study Consortium, Titus J. Brinker

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Stroma and lymphocytes identified by deep learning are independent predictors for survival in pancreatic cancer by Xiuxiang Tan, Mika Rosin, Simone Appinger, Julia Campello Deierl, Konrad Reichel, Mariëlle Coolsen, Liselot Valkenburg-van Iersel, Judith de Vos-Geelen, Evelien J. M. de Jong, Jan Bednarsch, Bas Grootkoerkamp, Michail Doukas, Casper van Eijck, Tom Luedde, Edgar Dahl, Jakob Nikolas Kather, Shivan Sivakumar, Wolfram Trudo Knoefel, Georg Wiltberger, Ulf Peter Neumann, Lara R. Heij

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

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