From Algorithms to Insight: The Transformative Power of Artificial Intelligence and Machine Learning in Urological Cancer Research by Matthias May, Sabine Brookman-May, Emily Rinderknecht

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Efficacy and safety of desmopressin on frequency and urgency in female patients with overactive bladder and nocturia, current clinical features and outcomes: A systematic review by Bara Barakat, Knut Franke, Matthias May, Ulrich Gauger, Thomas-Alexander Vögeli

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Subcapsular Orchiectomy in the Primary Therapy of Patients with Bone Metastasis in Advanced Prostate Cancer: An Anachronistic Intervention? by Oleg Rud, Julia Peter, Reza Kheyri, Christian Gilfrich, Ali M. Ahmed, Wieland Boeckmann, Paul G. Fabricius, Matthias May

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Leveraging Large Language Models for High-Quality Lay Summaries: Efficacy of ChatGPT-4 with Custom Prompts in a Consecutive Series of Prostate Cancer Manuscripts by Emily Rinderknecht, Anna Schmelzer, Anton Kravchuk, Christopher Goßler, Johannes Breyer, Christian Gilfrich, Maximilian Burger, Simon Engelmann, Veronika Saberi, Clemens Kirschner, Dominik von Winning, Roman Mayr, Christian Wülfing, Hendrik Borgmann, Stephan Buse, Maximilian Haas, Matthias May

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Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures by Philipp Schubert, Matthias May, Daniel Höfler, Hans-Peter Fautz, Jana Hutter, Ricarda Merten, Sina Mansoorian, Thomas Weissmann, Lisa Deloch, Miriam Schonath, Nathalia Belmas, Felix Grabenbauer, Benjamin Frey, Udo Gaipl, Bernd-Niklas Axer, Juliane Szkitsak, Michael Uder, Christoph Bert, Rainer Fietkau, Florian Putz

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