Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Chanda, Tirtha; Hauser, Katja; Hobelsberger, Sarah; Bucher, Tabea-Clara; Garcia, Carina Nogueira; Wies, Christoph; Kittler, Harald; Tschandl, Philipp; Navarrete-Dechent, Cristian; Podlipnik, Sebastian; Chousakos, Emmanouil; Crnaric, Iva; Majstorovic, Jovana; Alhajwan, Linda; Foreman, Tanya; Peternel, Sandra; Sarap, Sergei; Özdemir, İrem; Barnhill, Raymond L.; Llamas-Velasco, Mar; Poch, Gabriela; Korsing, Sören; Sondermann, Wiebke; Gellrich, Frank Friedrich; Heppt, Markus V.; Erdmann, Michael; Haferkamp, Sebastian; Drexler, Konstantin; Goebeler, Matthias; Schilling, Bastian; Utikal, Jochen S.; Ghoreschi, Kamran; Fröhling, Stefan; Krieghoff-Henning, Eva; Salava, Alexander; Thiem, Alexander; Dimitrios, Alexandris; Ammar, Amr Mohammad; Vučemilović, Ana Sanader; Yoshimura, Andrea Miyuki; Ilieva, Andzelka; Gesierich, Anja; Reimer-Taschenbrecker, Antonia; Kolios, Antonios G. A.; Kalva, Arturs; Ferhatosmanoğlu, Arzu; Beyens, Aude; Pföhler, Claudia; Erdil, Dilara Ilhan; Jovanovic, Dobrila; Racz, Emoke; Bechara, Falk G.; Vaccaro, Federico; Dimitriou, Florentia; Rasulova, Gunel; Cenk, Hulya; Yanatma, Irem; Kolm, Isabel; Hoorens, Isabelle; Sheshova, Iskra Petrovska; Jocic, Ivana; Knuever, Jana; Fleißner, Janik; Thamm, Janis Raphael; Dahlberg, Johan; Lluch-Galcerá, Juan José; Figueroa, Juan Sebastián Andreani; Holzgruber, Julia; Welzel, Julia; Damevska, Katerina; Mayer, Kristine Elisabeth; Maul, Lara Valeska; Garzona-Navas, Laura; Bley, Laura Isabell; Schmitt, Laurenz; Reipen, Lena; Shafik, Lidia; Petrovska, Lidija; Golle, Linda; Jopen, Luise; Gogilidze, Magda; Burg, Maria Rosa; Morales-Sánchez, Martha Alejandra; Sławińska, Martyna; Mengoni, Miriam; Dragolov, Miroslav; Iglesias-Pena, Nicolás; Booken, Nina; Enechukwu, Nkechi Anne; Persa, Oana-Diana; Oninla, Olumayowa Abimbola; Theofilogiannakou, Panagiota; Kage, Paula; Neto, Roque Rafael Oliveira; Peralta, Rosario; Afiouni, Rym; Schuh, Sandra; Schnabl-Scheu, Saskia; Vural, Seçil; Hudson, Sharon; Saa, Sonia Rodriguez; Hartmann, Sören; Damevska, Stefana; Finck, Stefanie; Braun, Stephan Alexander; Hartmann, Tim; Welponer, Tobias; Sotirovski, Tomica; Bondare-Ansberga, Vanda; Ahlgrimm-Siess, Verena; Frings, Verena Gerlinde; Simeonovski, Viktor; Zafirovik, Zorica; Maul, Julia-Tatjana; Lehr, Saskia; Wobser, Marion; Debus, Dirk; Riad, Hassan; Pereira, Manuel P.; Lengyel, Zsuzsanna; Balcere, Alise; Tsakiri, Amalia; Braun, Ralph P.; Brinker, Titus J.

doi:10.1038/s41467-023-43095-4

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Scientific paper - Original scientific paper

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Nature Communications, 15 (2024), 1; 524. https://doi.org/10.1038/s41467-023-43095-4

Chanda, Tirtha; Hauser, Katja; Hobelsberger, Sarah; Bucher, Tabea-Clara; Garcia, Carina Nogueira; Wies, Christoph; Kittler, Harald; Tschandl, Philipp; Navarrete-Dechent, Cristian; Podlipnik, Sebastian; Chousakos, Emmanouil; Crnaric, Iva; Majstorovic, Jovana; Alhajwan, Linda; Foreman, Tanya; Peternel, Sandra; Sarap, Sergei; Özdemir, İrem; Barnhill, Raymond L.; Llamas-Velasco, Mar; Poch, Gabriela; Korsing, Sören; Sondermann, Wiebke; Gellrich, Frank Friedrich; Heppt, Markus V.; Erdmann, Michael; Haferkamp, Sebastian; Drexler, Konstantin; Goebeler, Matthias; Schilling, Bastian; Utikal, Jochen S.; Ghoreschi, Kamran; Fröhling, Stefan; Krieghoff-Henning, Eva; Salava, Alexander; Thiem, Alexander; Dimitrios, Alexandris; Ammar, Amr Mohammad; Vučemilović, Ana Sanader; Yoshimura, Andrea Miyuki; Ilieva, Andzelka; Gesierich, Anja; Reimer-Taschenbrecker, Antonia; Kolios, Antonios G. A.; Kalva, Arturs; Ferhatosmanoğlu, Arzu; Beyens, Aude; Pföhler, Claudia; Erdil, Dilara Ilhan; Jovanovic, Dobrila; Racz, Emoke; Bechara, Falk G.; Vaccaro, Federico; Dimitriou, Florentia; Rasulova, Gunel; Cenk, Hulya; Yanatma, Irem; Kolm, Isabel; Hoorens, Isabelle; Sheshova, Iskra Petrovska; Jocic, Ivana; Knuever, Jana; Fleißner, Janik; Thamm, Janis Raphael; Dahlberg, Johan; Lluch-Galcerá, Juan José; Figueroa, Juan Sebastián Andreani; Holzgruber, Julia; Welzel, Julia; Damevska, Katerina; Mayer, Kristine Elisabeth; Maul, Lara Valeska; Garzona-Navas, Laura; Bley, Laura Isabell; Schmitt, Laurenz; Reipen, Lena; Shafik, Lidia; Petrovska, Lidija; Golle, Linda; Jopen, Luise; Gogilidze, Magda; Burg, Maria Rosa; Morales-Sánchez, Martha Alejandra; Sławińska, Martyna; Mengoni, Miriam; Dragolov, Miroslav; Iglesias-Pena, Nicolás; Booken, Nina; Enechukwu, Nkechi Anne; Persa, Oana-Diana; Oninla, Olumayowa Abimbola; Theofilogiannakou, Panagiota; Kage, Paula; Neto, Roque Rafael Oliveira; Peralta, Rosario; Afiouni, Rym; Schuh, Sandra; Schnabl-Scheu, Saskia; Vural, Seçil; Hudson, Sharon; Saa, Sonia Rodriguez; Hartmann, Sören; Damevska, Stefana; Finck, Stefanie; Braun, Stephan Alexander; Hartmann, Tim; Welponer, Tobias; Sotirovski, Tomica; Bondare-Ansberga, Vanda; Ahlgrimm-Siess, Verena; Frings, Verena Gerlinde; Simeonovski, Viktor; Zafirovik, Zorica; Maul, Julia-Tatjana; Lehr, Saskia; Wobser, Marion; Debus, Dirk; Riad, Hassan; Pereira, Manuel P.; Lengyel, Zsuzsanna; Balcere, Alise; Tsakiri, Amalia; Braun, Ralph P.; Brinker, Titus J. More authors...

Institutional repository: Repository of the University of Rijeka, Faculty of Medicine

Cite this document

APA 6th Edition

Chanda, T., Hauser, K., Hobelsberger, S., Bucher, T. C., Garcia, C. N., Wies, C. ... Brinker, T. J. (2024). Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma. Nature Communications, 15. (1). doi: 10.1038/s41467-023-43095-4

MLA 8th Edition

Chanda, Tirtha, et al. "Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma." Nature Communications, vol. 15, no. 1, 2024. https://doi.org/10.1038/s41467-023-43095-4

Chicago 17th Edition

Chanda, Tirtha, Katja Hauser, Sarah Hobelsberger, Tabea Clara Bucher, Carina Nogueira Garcia, Christoph Wies, Harald Kittler, et al. "Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma." Nature Communications 15, no. 1 (2024). https://doi.org/10.1038/s41467-023-43095-4

Harvard

Chanda, T., et al. (2024) 'Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma', Nature Communications, 15(1). doi: 10.1038/s41467-023-43095-4

Vancouver

Chanda T, Hauser K, Hobelsberger S, Bucher TC, Garcia CN, Wies C, and sur.. Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma. Nature Communications [Internet]. 2024 January 15 [cited 2024 November 07];15(1). doi: 10.1038/s41467-023-43095-4

IEEE

T. Chanda, et al., "Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma", Nature Communications, vol. 15, no. 1, January 2024. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:184:079690. [Accessed: 07 November 2024]

Cite this item: https://urn.nsk.hr/urn:nbn:hr:184:079690

Metadata

Title (english)	Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Author	Tirtha Chanda
Author	Katja Hauser
Author	Sarah Hobelsberger
Author	Tabea-Clara Bucher
Author	Carina Nogueira Garcia
Author	Christoph Wies
Author	Harald Kittler
Author	Philipp Tschandl
Author	Cristian Navarrete-Dechent
Author	Sebastian Podlipnik
Author	Emmanouil Chousakos
Author	Iva Crnaric
Author	Jovana Majstorovic
Author	Linda Alhajwan
Author	Tanya Foreman
Author	Sandra Peternel
Author	Sergei Sarap
Author	İrem Özdemir
Author	Raymond L. Barnhill
Author	Mar Llamas-Velasco
Author	Gabriela Poch
Author	Sören Korsing
Author	Wiebke Sondermann
Author	Frank Friedrich Gellrich
Author	Markus V. Heppt
Author	Michael Erdmann
Author	Sebastian Haferkamp
Author	Konstantin Drexler
Author	Matthias Goebeler
Author	Bastian Schilling
Author	Jochen S. Utikal
Author	Kamran Ghoreschi
Author	Stefan Fröhling
Author	Eva Krieghoff-Henning
Author	Alexander Salava
Author	Alexander Thiem
Author	Alexandris Dimitrios
Author	Amr Mohammad Ammar
Author	Ana Sanader Vučemilović
Author	Andrea Miyuki Yoshimura
Author	Andzelka Ilieva
Author	Anja Gesierich
Author	Antonia Reimer-Taschenbrecker
Author	Antonios G. A. Kolios
Author	Arturs Kalva
Author	Arzu Ferhatosmanoğlu
Author	Aude Beyens
Author	Claudia Pföhler
Author	Dilara Ilhan Erdil
Author	Dobrila Jovanovic
Author	Emoke Racz
Author	Falk G. Bechara
Author	Federico Vaccaro
Author	Florentia Dimitriou
Author	Gunel Rasulova
Author	Hulya Cenk
Author	Irem Yanatma
Author	Isabel Kolm
Author	Isabelle Hoorens
Author	Iskra Petrovska Sheshova
Author	Ivana Jocic
Author	Jana Knuever
Author	Janik Fleißner
Author	Janis Raphael Thamm
Author	Johan Dahlberg
Author	Juan José Lluch-Galcerá
Author	Juan Sebastián Andreani Figueroa
Author	Julia Holzgruber
Author	Julia Welzel
Author	Katerina Damevska
Author	Kristine Elisabeth Mayer
Author	Lara Valeska Maul
Author	Laura Garzona-Navas
Author	Laura Isabell Bley
Author	Laurenz Schmitt
Author	Lena Reipen
Author	Lidia Shafik
Author	Lidija Petrovska
Author	Linda Golle
Author	Luise Jopen
Author	Magda Gogilidze
Author	Maria Rosa Burg
Author	Martha Alejandra Morales-Sánchez
Author	Martyna Sławińska
Author	Miriam Mengoni
Author	Miroslav Dragolov
Author	Nicolás Iglesias-Pena
Author	Nina Booken
Author	Nkechi Anne Enechukwu
Author	Oana-Diana Persa
Author	Olumayowa Abimbola Oninla
Author	Panagiota Theofilogiannakou
Author	Paula Kage
Author	Roque Rafael Oliveira Neto
Author	Rosario Peralta
Author	Rym Afiouni
Author	Sandra Schuh
Author	Saskia Schnabl-Scheu
Author	Seçil Vural
Author	Sharon Hudson
Author	Sonia Rodriguez Saa
Author	Sören Hartmann
Author	Stefana Damevska
Author	Stefanie Finck
Author	Stephan Alexander Braun
Author	Tim Hartmann
Author	Tobias Welponer
Author	Tomica Sotirovski
Author	Vanda Bondare-Ansberga
Author	Verena Ahlgrimm-Siess
Author	Verena Gerlinde Frings
Author	Viktor Simeonovski
Author	Zorica Zafirovik
Author	Julia-Tatjana Maul
Author	Saskia Lehr
Author	Marion Wobser
Author	Dirk Debus
Author	Hassan Riad
Author	Manuel P. Pereira
Author	Zsuzsanna Lengyel
Author	Alise Balcere
Author	Amalia Tsakiri
Author	Ralph P. Braun
Author	Titus J. Brinker
Author's institution	University of Rijeka Faculty of Medicine (Department of Dermatovenerology)
Scientific / art field, discipline and subdiscipline	BIOMEDICINE AND HEALTHCARE Clinical Medical Sciences Dermatovenerology
Abstract (english)	Abstract Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance. Explainable AI (XAI) methods can help to increase transparency, yet often lack precise, domain-specific explanations. Moreover, the impact of XAI methods on dermatologists’ decisions has not yet been evaluated. Building upon previous research, we introduce an XAI system that provides precise and domain-specific explanations alongside its differential diagnoses of melanomas and nevi. Through a three-phase study, we assess its impact on dermatologists’ diagnostic accuracy, diagnostic confidence, and trust in the XAI-support. Our results show strong alignment between XAI and dermatologist explanations. We also show that dermatologists’ confidence in their diagnoses, and their trust in the support system significantly increase with XAI compared to conventional AI. This study highlights dermatologists’ willingness to adopt such XAI systems, promoting future use in the clinic.
Keywords (english)
Language	english
Publication type	Scientific paper - Original scientific paper
Publication status	Published
Peer review	Peer review - international
Publication version	Published version
Journal title	Nature Communications
Numbering	vol. 15, no. 1, 524
e-ISSN	2041-1723
DOI	https://doi.org/10.1038/s41467-023-43095-4
URN:NBN	urn:nbn:hr:184:079690
Publication	2024-01-15
Document URL	https://www.nature.com/articles/s41467-023-43095-4
Type of resource	Text
Access conditions	Open access
Terms of use
Created on	2024-01-25 14:18:38

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