Reply to: False conflict and false confirmation errors are crucial components of AI accuracy in medical decision making by Christoph Wies, Katja Hauser, Titus J. Brinker

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Few-shot learning for skin lesion classification: A prototypical networks approach by Sireesha Chamarthi, Katharina Fogelberg, Jakob Gawlikowski, Titus J. Brinker

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Mitigating the influence of domain shift in skin lesion classification: A benchmark study of unsupervised domain adaptation methods by Sireesha Chamarthi, Katharina Fogelberg, Titus J. Brinker, Julia Niebling

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Noninvasive Technologies for the Diagnosis of Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis by Carina Nogueira Garcia, Christoph Wies, Katja Hauser, Titus J. Brinker

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Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks by Lilija Aprupe, Geert Litjens, Titus J. Brinker, Jeroen van der Laak, Niels Grabe

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Salivary cortisol levels and anxiety in melanoma patients undergoing sentinel lymph node excision under local anesthesia versus general anesthesia: a prospective study by Philipp Jansen, Ingo Stoffels, Anne-Christine Müseler, Maximilian Petri, Titus J. Brinker, Manfred Schedlowski, Dirk Schadendorf, Harald Engler, Joachim Klode

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Prompt injection attacks on vision language models in oncology by Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch, Daniel Truhn, 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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Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center study. by Christoph Wies, Lucas Schneider, Sarah Haggenmüller, Tabea-Clara Bucher, Sarah Hobelsberger, Markus V Heppt, Gerardo Ferrara, Eva I Krieghoff-Henning, Titus J Brinker

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Deep learning for the detection of microsatellite instability from histology images in colorectal cancer: A systematic literature review by Amelie Echle, Narmin Ghaffari Laleh, Peter L. Schrammen, Nicholas P. West, Christian Trautwein, Titus J. Brinker, Stephen B. Gruber, Roman D. Buelow, Peter Boor, Heike I. Grabsch, Philip Quirke, Jakob N. Kather

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Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective by Tanja B. Jutzi, Eva I. Krieghoff-Henning, Tim Holland-Letz, Jochen Sven Utikal, Jochen Sven Utikal, Axel Hauschild, Dirk Schadendorf, Wiebke Sondermann, Stefan Fröhling, Achim Hekler, Max Schmitt, Roman C. Maron, Titus J. Brinker

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Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning by Julia Höhn, Eva Krieghoff-Henning, Christoph Wies, Lennard Kiehl, Martin J. Hetz, Tabea-Clara Bucher, Jitendra Jonnagaddala, Kurt Zatloukal, Heimo Müller, Markus Plass, Emilian Jungwirth, Timo Gaiser, Matthias Steeg, Tim Holland-Letz, Hermann Brenner, Michael Hoffmeister, Titus J. Brinker

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Deep learning can predict survival directly from histology in clear cell renal cell carcinoma. by Frederik Wessels, Max Schmitt, Eva Krieghoff-Henning, Jakob N Kather, Malin Nientiedt, Maximilian C Kriegmair, Thomas S Worst, Manuel Neuberger, Matthias Steeg, Zoran V Popovic, Timo Gaiser, Christof von Kalle, Jochen S Utikal, Stefan Fröhling, Maurice S Michel, Philipp Nuhn, Titus J Brinker

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Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology by Marco Gustav, Nic Gabriel Reitsam, Zunamys I. Carrero, Chiara M. L. Loeffler, Marko van Treeck, Tanwei Yuan, Nicholas P. West, Philip Quirke, Titus J. Brinker, Hermann Brenner, Loëtitia Favre, Bruno Märkl, Albrecht Stenzinger, Alexander Brobeil, Michael Hoffmeister, Julien Calderaro, Anaïs Pujals, Jakob Nikolas Kather

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Photoaging smartphone app promoting poster campaign to reduce smoking prevalence in secondary schools: the Smokerface Randomized Trial: design and baseline characteristics by Michael Kreuter, Fabian N Fries, Titus J Brinker, Ute Mons, David A Groneberg, Anil Batra, Werner Seeger, Felix Herth, Julia Holzapfel, Tanja G Baudson, Katharina Sies, Lena Jakob, Hannah Maria Baumert, Marlene Heckl, Ana Cirac, Janina L Suhre, Verena Mathes, Hannah Spielmann, Nancy Rigotti, Tobias Raupach, Henning Gall, Claudia Bauer, Pat Marek, Chase H Harrison, Lava Taha, Andreas Owczarek, Felix J Hofmann, Roger Thomas

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Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient care by Lukas Heinlein, Roman C. Maron, Achim Hekler, Sarah Haggenmüller, Christoph Wies, Jochen S. Utikal, Friedegund Meier, Sarah Hobelsberger, Frank F. Gellrich, Mildred Sergon, Axel Hauschild, Lars E. French, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Eva Krieghoff-Henning, Titus J. Brinker

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Effects of Label Noise on Deep Learning-Based Skin Cancer Classification by Achim Hekler, Jakob N. Kather, Jakob N. Kather, Eva Krieghoff-Henning, Jochen S. Utikal, Jochen S. Utikal, Friedegund Meier, Friedegund Meier, Frank F. Gellrich, Frank F. Gellrich, Julius Upmeier zu Belzen, Lars French, Justin G. Schlager, Kamran Ghoreschi, Tabea Wilhelm, Heinz Kutzner, Carola Berking, Markus V. Heppt, Sebastian Haferkamp, Wiebke Sondermann, Dirk Schadendorf, Bastian Schilling, Benjamin Izar, Roman Maron, Max Schmitt, Stefan Fröhling, Stefan Fröhling, Daniel B. Lipka, Daniel B. Lipka, Daniel B. Lipka, Titus J. Brinker

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Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma by Tirtha Chanda, Katja Hauser, Sarah Hobelsberger, Tabea-Clara Bucher, Carina Nogueira Garcia, Christoph Wies, Harald Kittler, Philipp Tschandl, Cristian Navarrete-Dechent, Sebastian Podlipnik, Emmanouil Chousakos, Iva Crnaric, Jovana Majstorovic, Linda Alhajwan, Tanya Foreman, Sandra Peternel, Sergei Sarap, İrem Özdemir, Raymond L. Barnhill, Mar Llamas-Velasco, Gabriela Poch, Sören Korsing, Wiebke Sondermann, Frank Friedrich Gellrich, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Matthias Goebeler, Bastian Schilling, Jochen S. Utikal, Kamran Ghoreschi, Stefan Fröhling, Eva Krieghoff-Henning, Reader Study Consortium, Titus J. Brinker

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Discordance, accuracy and reproducibility study of pathologists’ diagnosis of melanoma and melanocytic tumors by Sarah Haggenmüller, Christoph Wies, Julia Abels, Jana T. Winterstein, Lukas Heinlein, Carina Nogueira Garcia, Jochen S. Utikal, Sebastian A. Wohlfeil, Friedegund Meier, Sarah Hobelsberger, Frank F. Gellrich, Mildred Sergon, Axel Hauschild, Lars E. French, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Cosimo Sarfert, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Jakob Nikolas Kather, Stefan Fröhling, Mar Llamas-Velasco, Luis C. Requena, Gerardo Ferrara, Maite Fernandez-Figueras, Sylvie Fraitag, Cornelia S. L. Müller, Hans Starz, Heinz Kutzner, Raymond Barnhill, Richard Carr, Kenneth S. Resnik, Stephan Alexander Braun, Tim Holland-Letz, Titus J. Brinker

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