Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
- DOI
- 10.1038/s41467-025-59532-5
- Published
- 2025-05-21
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- Nature Communications
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- Springer Science and Business Media LLC
- Open access
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BibTeX
@article{allodium:10.1038/s41467-025-59532-5,
title = {Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study},
author = {Tirtha Chanda and Sarah Haggenmueller and Tabea-Clara Bucher and Tim Holland-Letz and Harald Kittler and Philipp Tschandl and Markus V. Heppt and Carola Berking and Jochen S. Utikal and Bastian Schilling and Claudia Buerger and Cristian Navarrete-Dechent and Matthias Goebeler and Jakob Nikolas Kather and Carolin V. Schneider and Benjamin Durani and Hendrike Durani and Martin Jansen and Juliane Wacker and Joerg Wacker and Unknown and Nina Booken and Verena Ahlgrimm-Siess and Julia Welzel and Oana-Diana Persa and Florentia Dimitriou and Stephan Alexander Braun and Lara Valeska Maul and Antonia Reimer-Taschenbrecker and Sandra Schuh and Falk G. Bechara and Laurence Feldmeyer and Beda Mühleisen and Elisabeth Gössinger and Stephan Alexander Braun and Van Anh Nguyen and Julia-Tatjana Maul and Friederike Hoffmann and Claudia Pföhler and Janis Thamm and Wiebke Ludwig-Peitsch and Daniela Hartmann and Laura Garzona-Navas and Martyna Sławińska and Panagiota Theofilogiannakou and Ana Sanader Vucemilovic and Juan José Lluch-Galcerá and Aude Beyens and Dilara Ilhan Erdil and Rym Afiouni and Vanda Bondare-Ansberga and Martha Alejandra Morales-Sánchez and Arzu Ferhatosmanoğlu and Roque Rafael Oliveira Neto and Lidija Petrovska and Amalia Tsakiri and Hülya Cenk and Sharon Hudson and Miroslav Dragolov and Zorica Zafirovik and Ivana Jocic and Alise Balcere and Zsuzsanna Lengyel and Alexander Salava and Isabelle Hoorens and Sonia Rodriguez Saa and Emõke Rácz and Gabriel Salerni and Karen Manuelyan and Amr Mohammad Ammar and Michael Erdmann and Nicola Wagner and Jannik Sambale and Stephan Kemenes and Moritz Ronicke and Lukas Sollfrank and Caroline Bosch-Voskens and Ioannis Sagonas and Thomas Breakell and Christopher Uebel and Lisa Zieringer and Michael Hoener and Leonie Rabe and Tim Sackmann and Julia Baumert and Marthe Lisa Schaarschmidt and Nadia Ninosu and Kaan Yilmaz and Danai Dionysia and Franca Christ and Sarah Fahimi and Sabina Loos and Ani Sachweizer and Janika Gosmann and Tobias Weberschock and Ufuk Erdogdu and Amelie Buchinger and Jasmin Lunderstedt and Timo Funk and Hess Klifo and Sebastian Kiefer and Dietlein Klifo and Malin Kalski and Titus J. Brinker},
year = {2025},
journal = {Nature Communications},
doi = {10.1038/s41467-025-59532-5},
url = {https://doi.org/10.1038/s41467-025-59532-5}
}RIS
TY - JOUR TI - Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study AU - Tirtha Chanda AU - Sarah Haggenmueller AU - Tabea-Clara Bucher AU - Tim Holland-Letz AU - Harald Kittler AU - Philipp Tschandl AU - Markus V. Heppt AU - Carola Berking AU - Jochen S. Utikal AU - Bastian Schilling AU - Claudia Buerger AU - Cristian Navarrete-Dechent AU - Matthias Goebeler AU - Jakob Nikolas Kather AU - Carolin V. Schneider AU - Benjamin Durani AU - Hendrike Durani AU - Martin Jansen AU - Juliane Wacker AU - Joerg Wacker AU - Unknown AU - Nina Booken AU - Verena Ahlgrimm-Siess AU - Julia Welzel AU - Oana-Diana Persa AU - Florentia Dimitriou AU - Stephan Alexander Braun AU - Lara Valeska Maul AU - Antonia Reimer-Taschenbrecker AU - Sandra Schuh AU - Falk G. Bechara AU - Laurence Feldmeyer AU - Beda Mühleisen AU - Elisabeth Gössinger AU - Stephan Alexander Braun AU - Van Anh Nguyen AU - Julia-Tatjana Maul AU - Friederike Hoffmann AU - Claudia Pföhler AU - Janis Thamm AU - Wiebke Ludwig-Peitsch AU - Daniela Hartmann AU - Laura Garzona-Navas AU - Martyna Sławińska AU - Panagiota Theofilogiannakou AU - Ana Sanader Vucemilovic AU - Juan José Lluch-Galcerá AU - Aude Beyens AU - Dilara Ilhan Erdil AU - Rym Afiouni AU - Vanda Bondare-Ansberga AU - Martha Alejandra Morales-Sánchez AU - Arzu Ferhatosmanoğlu AU - Roque Rafael Oliveira Neto AU - Lidija Petrovska AU - Amalia Tsakiri AU - Hülya Cenk AU - Sharon Hudson AU - Miroslav Dragolov AU - Zorica Zafirovik AU - Ivana Jocic AU - Alise Balcere AU - Zsuzsanna Lengyel AU - Alexander Salava AU - Isabelle Hoorens AU - Sonia Rodriguez Saa AU - Emõke Rácz AU - Gabriel Salerni AU - Karen Manuelyan AU - Amr Mohammad Ammar AU - Michael Erdmann AU - Nicola Wagner AU - Jannik Sambale AU - Stephan Kemenes AU - Moritz Ronicke AU - Lukas Sollfrank AU - Caroline Bosch-Voskens AU - Ioannis Sagonas AU - Thomas Breakell AU - Christopher Uebel AU - Lisa Zieringer AU - Michael Hoener AU - Leonie Rabe AU - Tim Sackmann AU - Julia Baumert AU - Marthe Lisa Schaarschmidt AU - Nadia Ninosu AU - Kaan Yilmaz AU - Danai Dionysia AU - Franca Christ AU - Sarah Fahimi AU - Sabina Loos AU - Ani Sachweizer AU - Janika Gosmann AU - Tobias Weberschock AU - Ufuk Erdogdu AU - Amelie Buchinger AU - Jasmin Lunderstedt AU - Timo Funk AU - Hess Klifo AU - Sebastian Kiefer AU - Dietlein Klifo AU - Malin Kalski AU - Titus J. Brinker PY - 2025 JO - Nature Communications DO - 10.1038/s41467-025-59532-5 UR - https://doi.org/10.1038/s41467-025-59532-5 ER -
APA
Chanda, T., Haggenmueller, S., Bucher, T., Holland-Letz, T., Kittler, H., Tschandl, P., Heppt, M. V., Berking, C., Utikal, J. S., Schilling, B., Buerger, C., Navarrete-Dechent, C., Goebeler, M., Kather, J. N., Schneider, C. V., Durani, B., Durani, H., Jansen, M., Wacker, J., Wacker, J., Unknown, Booken, N., Ahlgrimm-Siess, V., Welzel, J., Persa, O., Dimitriou, F., Braun, S. A., Maul, L. V., Reimer-Taschenbrecker, A., Schuh, S., Bechara, F. G., Feldmeyer, L., Mühleisen, B., Gössinger, E., Braun, S. A., Nguyen, V. A., Maul, J., Hoffmann, F., Pföhler, C., Thamm, J., Ludwig-Peitsch, W., Hartmann, D., Garzona-Navas, L., Sławińska, M., Theofilogiannakou, P., Vucemilovic, A. S., Lluch-Galcerá, J. J., Beyens, A., Erdil, D. I., Afiouni, R., Bondare-Ansberga, V., Morales-Sánchez, M. A., Ferhatosmanoğlu, A., Neto, R. R. O., Petrovska, L., Tsakiri, A., Cenk, H., Hudson, S., Dragolov, M., Zafirovik, Z., Jocic, I., Balcere, A., Lengyel, Z., Salava, A., Hoorens, I., Saa, S. R., Rácz, E., Salerni, G., Manuelyan, K., Ammar, A. M., Erdmann, M., Wagner, N., Sambale, J., Kemenes, S., Ronicke, M., Sollfrank, L., Bosch-Voskens, C., Sagonas, I., Breakell, T., Uebel, C., Zieringer, L., Hoener, M., Rabe, L., Sackmann, T., Baumert, J., Schaarschmidt, M. L., Ninosu, N., Yilmaz, K., Dionysia, D., Christ, F., Fahimi, S., Loos, S., Sachweizer, A., Gosmann, J., Weberschock, T., Erdogdu, U., Buchinger, A., Lunderstedt, J., Funk, T., Klifo, H., Kiefer, S., Klifo, D., Kalski, M., & Brinker, T. J. (2025). Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study. Nature Communications. https://doi.org/10.1038/s41467-025-59532-5
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- crossref · retrieved 2026-09-27T08:17:19.707Z