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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. Više autora...

Citirajte ovaj rad

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

Chanda, Tirtha, et al. "Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma." Nature Communications, vol. 15, br. 1, 2024. https://doi.org/10.1038/s41467-023-43095-4

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, br. 1 (2024). https://doi.org/10.1038/s41467-023-43095-4

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

Chanda T, Hauser K, Hobelsberger S, Bucher TC, Garcia CN, Wies C, i sur.. Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma. Nature Communications [Internet]. 15.01.2024. [pristupljeno 27.10.2024.];15(1). doi: 10.1038/s41467-023-43095-4

T. Chanda, et al., "Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma", Nature Communications, vol. 15, br. 1, Siječanj 2024. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:079690. [Citirano: 27.10.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:184:079690
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Podaci o radu
Naslov (engleski)Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
AutorTirtha Chanda
AutorKatja Hauser
AutorSarah Hobelsberger
AutorTabea-Clara Bucher
AutorCarina Nogueira Garcia
AutorChristoph Wies
AutorHarald Kittler
AutorPhilipp Tschandl
AutorCristian Navarrete-Dechent
AutorSebastian Podlipnik
AutorEmmanouil Chousakos
AutorIva Crnaric
AutorJovana Majstorovic
AutorLinda Alhajwan
AutorTanya Foreman
AutorSandra Peternel
AutorSergei Sarap
Autorİrem Özdemir
AutorRaymond L. Barnhill
AutorMar Llamas-Velasco
AutorGabriela Poch
AutorSören Korsing
AutorWiebke Sondermann
AutorFrank Friedrich Gellrich
AutorMarkus V. Heppt
AutorMichael Erdmann
AutorSebastian Haferkamp
AutorKonstantin Drexler
AutorMatthias Goebeler
AutorBastian Schilling
AutorJochen S. Utikal
AutorKamran Ghoreschi
AutorStefan Fröhling
AutorEva Krieghoff-Henning
AutorAlexander Salava
AutorAlexander Thiem
AutorAlexandris Dimitrios
AutorAmr Mohammad Ammar
AutorAna Sanader Vučemilović
AutorAndrea Miyuki Yoshimura
AutorAndzelka Ilieva
AutorAnja Gesierich
AutorAntonia Reimer-Taschenbrecker
AutorAntonios G. A. Kolios
AutorArturs Kalva
AutorArzu Ferhatosmanoğlu
AutorAude Beyens
AutorClaudia Pföhler
AutorDilara Ilhan Erdil
AutorDobrila Jovanovic
AutorEmoke Racz
AutorFalk G. Bechara
AutorFederico Vaccaro
AutorFlorentia Dimitriou
AutorGunel Rasulova
AutorHulya Cenk
AutorIrem Yanatma
AutorIsabel Kolm
AutorIsabelle Hoorens
AutorIskra Petrovska Sheshova
AutorIvana Jocic
AutorJana Knuever
AutorJanik Fleißner
AutorJanis Raphael Thamm
AutorJohan Dahlberg
AutorJuan José Lluch-Galcerá
AutorJuan Sebastián Andreani Figueroa
AutorJulia Holzgruber
AutorJulia Welzel
AutorKaterina Damevska
AutorKristine Elisabeth Mayer
AutorLara Valeska Maul
AutorLaura Garzona-Navas
AutorLaura Isabell Bley
AutorLaurenz Schmitt
AutorLena Reipen
AutorLidia Shafik
AutorLidija Petrovska
AutorLinda Golle
AutorLuise Jopen
AutorMagda Gogilidze
AutorMaria Rosa Burg
AutorMartha Alejandra Morales-Sánchez
AutorMartyna Sławińska
AutorMiriam Mengoni
AutorMiroslav Dragolov
AutorNicolás Iglesias-Pena
AutorNina Booken
AutorNkechi Anne Enechukwu
AutorOana-Diana Persa
AutorOlumayowa Abimbola Oninla
AutorPanagiota Theofilogiannakou
AutorPaula Kage
AutorRoque Rafael Oliveira Neto
AutorRosario Peralta
AutorRym Afiouni
AutorSandra Schuh
AutorSaskia Schnabl-Scheu
AutorSeçil Vural
AutorSharon Hudson
AutorSonia Rodriguez Saa
AutorSören Hartmann
AutorStefana Damevska
AutorStefanie Finck
AutorStephan Alexander Braun
AutorTim Hartmann
AutorTobias Welponer
AutorTomica Sotirovski
AutorVanda Bondare-Ansberga
AutorVerena Ahlgrimm-Siess
AutorVerena Gerlinde Frings
AutorViktor Simeonovski
AutorZorica Zafirovik
AutorJulia-Tatjana Maul
AutorSaskia Lehr
AutorMarion Wobser
AutorDirk Debus
AutorHassan Riad
AutorManuel P. Pereira
AutorZsuzsanna Lengyel
AutorAlise Balcere
AutorAmalia Tsakiri
AutorRalph P. Braun
AutorTitus J. Brinker
Autorova ustanovaSveučilište u Rijeci
Medicinski fakultet
(Katedra za dermatovenerologiju)
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Dermatovenerologija
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaNature Communications
Brojčani podacivol. 15, br. 1, 524
e-ISSN2041-1723
DOIhttps://doi.org/10.1038/s41467-023-43095-4
URN:NBNurn:nbn:hr:184:079690
Datum objave publikacije2024-01-15
URL dokumentahttps://www.nature.com/articles/s41467-023-43095-4
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-01-25 14:18:38