Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study by Schmitt, Max, Maron, Roman Christoph, Hekler, Achim, Stenzinger, Albrecht, Hauschild, Axel, Weichenthal, Michael, Tiemann, Markus, Krahl, Dieter, Kutzner, Heinz, Utikal, Jochen Sven, Haferkamp, Sebastian, Kather, Jakob Nikolas, Klauschen, Frederick, Krieghoff-Henning, Eva, Fröhling, Stefan, von Kalle, Christof, Brinker, Titus Josef

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Integrating large language models in care, research, and education in multiple sclerosis management by Inojosa, Hernan, Voigt, Isabel, Wenk, Judith, Ferber, Dyke, Wiest, Isabella, Antweiler, Dario, Weicken, Eva, Gilbert, Stephen, Kather, Jakob Nikolas, Akgün, Katja, Ziemssen, Tjalf

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Artificial intelligence-based pathology as a biomarker of sensitivity to atezolizumab–bevacizumab in patients with hepatocellular carcinoma: a multicentre retrospective study by Zeng, Qinghe, Klein, Christophe, Caruso, Stefano, Maille, Pascale, Allende, Daniela S, Mínguez, Beatriz, Ningarhari, Massih, Casadei-Gardini, Andrea, Rimini, Margherita, Perbellini, Riccardo, Boulagnon-Rombi, Camille, Rela, Mohamed, Vij, Mukul, Baulande, Sylvain, Lameiras, Sonia, Allende, Daniela S, Amaddeo, Giuliana, Argemi, Josepmaria, Beaufrère, Aurélie, Bermúdez-Ramos, María, Boulagnon-Rombi, Camille, Boursier, Jérôme, Calderaro, Julien, Campani, Claudia, Caruso, Stefano, Casadei-Gardini, Andrea, Castano Garcia, Andres, Chan, Stephen Lam, Di Tommaso, Luca, Digklia, Antonia, Garcia-Porrero, Guillermo, Ghaffari Laleh, Narmin, Gopal, Purva, Graham, Rondell P., Iavarone, Massimo, Iñarrairaegui, Mercedes, Kather, Jakob Nikolas, Klein, Christophe, Labgaa, Ismail, Lameiras, Sonia, Legoix, Patricia, Lequoy, Marie, Leung, Howard Ho-Wai, Loménie, Nicolas, Maggioni, Marco, Maille, Pascale, Marín-Zuluaga, Juan Ignacio, Mendoza-Pacas, Guillermo, Mínguez, Beatriz, El Nahhas, Omar S M, Nault, Jean-Charles, Ningarhari, Massih, Paradis, Valérie, Park, Young Nyun, Pawlotsky, Jean-Michel, Pedica, Federica, Perbellini, Riccardo, Pinato, David James, Pinter, Matthias, Radu, Pompilia, Regnault, Hélène, Reig, Maria, Rela, Mohamed, Rhee, Hyungjin, Rimassa, Lorenza, Sangro, Bruno, Scheiner, Bernhard, Sempoux, Christine, Su, Tung-Hung, Torres, Callie, Trépo, Eric, Varela, Maria, Verset, Gontran, Vij, Mukul, Vogel, Arndt, Zeng, Qinghe, Ziol, Marianne, Bruges, Léa, Gnemmi, Viviane, Nault, Jean-Charles, Campani, Claudia, Rhee, Hyungjin, Park, Young Nyun, Garcia-Porrero, Guillermo, Argemi, Josepmaria, Sangro, Bruno, D'Alessio, Antonio, Scheiner, Bernhard, Pinato, David James, Pinter, Matthias, Paradis, Valérie, Beaufrère, Aurélie, Peter, Simon, Rimassa, Lorenza, Di Tommaso, Luca, Vogel, Arndt, Michalak, Sophie, Boursier, Jérôme, Ziol, Marianne, Calderaro, Julien

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

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How AI agents will change cancer research and oncology by Lee, Yongju, Ferber, Dyke, Rood, Jennifer E., Regev, Aviv, Kather, Jakob Nikolas

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Von der Bildauswertung bis zur Entscheidungsunterstützung: KI-Anwendungen in der Onkologie by Kather, Jakob Nikolas, Schmidberger, Heinz

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Encrypted federated learning for secure decentralized collaboration in cancer image analysis by Truhn, Daniel, Tayebi Arasteh, Soroosh, Saldanha, Oliver Lester, Müller-Franzes, Gustav, Khader, Firas, Quirke, Philip, West, Nicholas P, Gray, Richard, Hutchins, Gordon G A, James, Jacqueline A, Loughrey, Maurice B, Salto-Tellez, Manuel, Brenner, Hermann, Brobeil, Alexander, Yuan, Tanwei, Chang-Claude, Jenny, Hoffmeister, Michael, Foersch, Sebastian, Han, Tianyu, Keil, Sebastian, Schulze-Hagen, Maximilian, Isfort, Peter, Bruners, Philipp, Kaissis, Georgios, Kuhl, Christiane, Nebelung, Sven, Kather, Jakob Nikolas

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A 3-dimensional histology computer model of malignant melanoma and its implications for digital pathology by Kurz, Alexander, Krahl, Dieter, Kutzner, Heinz, Barnhill, Raymond, Perasole, Antonio, Figueras, Maria Teresa Fernandez, Ferrara, Gerardo, Braun, Stephan A., Starz, Hans, Llamas-Velasco, Mar, Utikal, Jochen Sven, Fröhling, Stefan, von Kalle, Christof, Kather, Jakob Nikolas, Schneider, Lucas, Brinker, Titus J.

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The performance of artificial intelligence on a national medical licensing examination—the answers of large language models to text questions by Geissler, Mark Enrik, Goeben, Merle, Glasmacher, Kira A., Bereuter, Jean-Paul, Geissler, Rona Berit, Wiest, Isabella C., Kolbinger, Fiona R., Kather, Jakob Nikolas

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KI: Keine Wunder, aber wertvolle Beiträge by Kather, Jakob Nikolas

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OS-017 Deep learning discriminates autoimmune hepatitis and primary biliary cholangitis by Gerussi, Alessio, Saldanha, Oliver, Cazzaniga, Giorgio, Verda, Damiano, Carrero, Zunamys, Engel, Bastian, Taubert, Richard, Bolis, Francesca, Cristoferi, Laura, Malinverno, Federica, Colapietro, Francesca, Akpinar, Reha, Di Tommaso, Luca, Terracciano, Luigi, Lleo, Ana, Viganò, Mauro, Rigamonti, Cristina, Cabibi, Daniela, Calvaruso, Vincenza, Gibilisco, Fabio, Caldonazzi, Nicoló, Valentino, Alessandro, Ceola, Stefano, Canini, Valentina, Nofit, Eugenia, Muselli, Marco, Calderaro, Julien, Tiniakos, Dina, L'Imperio, Vincenzo, Pagni, Fabio, Zucchini, Nicola, Invernizzi, Pietro, Carbone, Marco, Kather, Jakob Nikolas

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Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study by Niehues, Jan Moritz, Quirke, Philip, West, Nicholas P., Grabsch, Heike I., van Treeck, Marko, Schirris, Yoni, Veldhuizen, Gregory P., Hutchins, Gordon G.A., Richman, Susan D., Foersch, Sebastian, Brinker, Titus J., Fukuoka, Junya, Bychkov, Andrey, Uegami, Wataru, Truhn, Daniel, Brenner, Hermann, Brobeil, Alexander, Hoffmeister, Michael, Kather, Jakob Nikolas

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Nestin as a diagnostic and prognostic marker for combined hepatocellular-cholangiocarcinoma by Calderaro, Julien, Di Tommaso, Luca, Maillé, Pascale, Beaufrère, Aurélie, Nguyen, Cong Trung, Heij, Lara, Gnemmi, Viviane, Graham, Rondell P., Charlotte, Frédéric, Chartier, Suzanne, Wendum, Dominique, Vij, Mukul, Allende, Daniela, Diaz, Alba, Fuster, Carla, Rivière, Benjamin, Herrero, Astrid, Augustin, Jérémy, Evert, Katja, Calvisi, Diego Francesco, Leow, Wei Qiang, Leung, Howard Ho Wai, Bednarsch, Jan, Boleslawski, Emmanuel, Rela, Mohamed, Chan, Anthony Wing-Hung, Forner, Alejandro, Reig, Maria, Pujals, Anaïs, Favre, Loetitia, Allaire, Manon, Scatton, Olivier, Uguen, Arnaud, Trépo, Eric, Sanchez, Lukas Otero, Chatelain, Denis, Remmelink, Myriam, Boulagnon-Rombi, Camille, Bazille, Céline, Sturm, Nathalie, Menahem, Benjamin, Frouin, Eric, Tougeron, David, Tournigand, Christophe, Kempf, Emmanuelle, Kim, Haeryoung, Ningarhari, Massih, Michalak-Provost, Sophie, Kather, Jakob Nikolas, Gouw, Annette S.H., Gopal, Purva, Brustia, Raffaele, Vibert, Eric, Schulze, Kornelius, Rüther, Darius F., Weidemann, Sören A., Rhaiem, Rami, Nault, Jean-Charles, Laurent, Alexis, Amaddeo, Giuliana, Regnault, Hélène, de Martin, Eleonora, Sempoux, Christine, Navale, Pooja, Shinde, Jayendra, Bacchuwar, Ketan, Westerhoff, Maria, Lo, Regina Cheuk-Lam, Sebbagh, Mylène, Guettier, Catherine, Lequoy, Marie, Komuta, Mina, Ziol, Marianne, Paradis, Valérie, Shen, Jeanne, Caruso, Stefano

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AI in Computational Pathology of Cancer: Improving Diagnostic Workflows and Clinical Outcomes? by Cifci, Didem, Veldhuizen, Gregory P., Foersch, Sebastian, Kather, Jakob Nikolas

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Polyphonic sonification of electrocardiography signals for diagnosis of cardiac pathologies by Kather, Jakob Nikolas, Hermann, Thomas, Bukschat, Yannick, Kramer, Tilmann, Schad, Lothar R., Zöllner, Frank Gerrit

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Automated curation of large‐scale cancer histopathology image datasets using deep learning by Hilgers, Lars, Ghaffari Laleh, Narmin, West, Nicholas P, Westwood, Alice, Hewitt, Katherine J, Quirke, Philip, Grabsch, Heike I, Carrero, Zunamys I, Matthaei, Emylou, Loeffler, Chiara M L, Brinker, Titus J, Yuan, Tanwei, Brenner, Hermann, Brobeil, Alexander, Hoffmeister, Michael, Kather, Jakob Nikolas

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Optical coherence tomography combined with convolutional neural networks can differentiate between intrahepatic cholangiocarcinoma and liver parenchyma ex vivo by Wolff, Laura I., Hachgenei, Enno, Goßmann, Paul, Druzenko, Mariia, Frye, Maik, König, Niels, Schmitt, Robert H., Chrysos, Alexandros, Jöchle, Katharina, Truhn, Daniel, Kather, Jakob Nikolas, Lambertz, Andreas, Gaisa, Nadine T., Jonigk, Danny, Ulmer, Tom F., Neumann, Ulf P., Lang, Sven A., Amygdalos, Iakovos

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Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance by Niehues, Jan M., Müller-Franzes, Gustav, Schirris, Yoni, Wagner, Sophia Janine, Jendrusch, Michael, Kloor, Matthias, Pearson, Alexander T., Muti, Hannah Sophie, Hewitt, Katherine J., Veldhuizen, Gregory P., Zigutyte, Laura, Truhn, Daniel, Kather, Jakob Nikolas

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Can the Kuznetsov Model Replicate and Predict Cancer Growth in Humans? by El Wajeh, Mohammad, Jung, Falco, Bongartz, Dominik, Kappatou, Chrysoula Dimitra, Ghaffari Laleh, Narmin, Mitsos, Alexander, Kather, Jakob Nikolas

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Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response predictionKey points by David Nam, Julius Chapiro, Valerie Paradis, Tobias Paul Seraphin, Jakob Nikolas Kather

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