Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
Abstract
Abstract Artificial intelligence (AI) systems substantially improve dermatologists’ diagnostic accuracy for melanoma, with explainable AI (XAI) systems further enhancing their confidence and trust in AI-driven decisions. Despite these advancements, there remains a critical need for objective evaluation of how dermatologists engage with both AI and XAI tools. In this study, 76 dermatologists participate in a reader study, diagnosing 16 dermoscopic images of melanomas and nevi using an XAI system that provides detailed, domain-specific explanations, while eye-tracking technology assesses their interactions. Diagnostic performance is compared with that of a standard AI system lacking explanatory features. Here we show that XAI significantly improves dermatologists’ diagnostic balanced accuracy by 2.8 percentage points compared to standard AI. Moreover, diagnostic disagreements with AI/XAI systems and complex lesions are associated with elevated cognitive load, as evidenced by increased ocular fixations. These insights have significant implications for the design of AI/XAI tools for visual tasks in dermatology and the broader development of XAI in medical diagnostics.
Article Details
Authors (102)
Tirtha Chanda
Sarah Haggenmueller
Tabea-Clara Bucher
Tim Holland-Letz
Harald Kittler
Philipp Tschandl
Markus V. Heppt
Carola Berking
Jochen S. Utikal
Bastian Schilling
Claudia Buerger
Cristian Navarrete-Dechent
Matthias Goebeler
Jakob Nikolas Kather
Carolin V. Schneider
Benjamin Durani
Hendrike Durani
Martin Jansen
Juliane Wacker
Joerg Wacker
Nina Booken
Verena Ahlgrimm-Siess
Julia Welzel
Oana-Diana Persa
Florentia Dimitriou
Lara Valeska Maul
Antonia Reimer-Taschenbrecker
Sandra Schuh
Falk G. Bechara
Laurence Feldmeyer
Beda Mühleisen
Elisabeth Gössinger
Stephan Alexander Braun
Van Anh Nguyen
Takeda Development Center Americas, Cambridge, MA
Julia-Tatjana Maul
Friederike Hoffmann
Claudia Pföhler
Janis Thamm
Wiebke Ludwig-Peitsch
Daniela Hartmann
Laura Garzona-Navas
Martyna Sławińska
Panagiota Theofilogiannakou
Ana Sanader Vucemilovic
Juan José Lluch-Galcerá
Aude Beyens
Dilara Ilhan Erdil
Rym Afiouni
Vanda Bondare-Ansberga
Martha Alejandra Morales-Sánchez
Arzu Ferhatosmanoğlu
Roque Rafael Oliveira Neto
Lidija Petrovska
Amalia Tsakiri
Hülya Cenk
Sharon Hudson
Miroslav Dragolov
Zorica Zafirovik
Ivana Jocic
Alise Balcere
Zsuzsanna Lengyel
Alexander Salava
Isabelle Hoorens
Sonia Rodriguez Saa
Emõke Rácz
Gabriel Salerni
Karen Manuelyan
Amr Mohammad Ammar
Michael Erdmann
Department of Dermatology, Uniklinikum Erlangen, Friedrich Alexander University
Nicola Wagner
Jannik Sambale
Stephan Kemenes
Moritz Ronicke
Lukas Sollfrank
Caroline Bosch-Voskens
Ioannis Sagonas
Thomas Breakell
Christopher Uebel
Lisa Zieringer
Michael Hoener
Leonie Rabe
Tim Sackmann
Julia Baumert
Marthe Lisa Schaarschmidt
Nadia Ninosu
Kaan Yilmaz
Danai Dionysia
Franca Christ
Sarah Fahimi
Sabina Loos
Ani Sachweizer
Janika Gosmann
Tobias Weberschock
Ufuk Erdogdu
Amelie Buchinger
Jasmin Lunderstedt
Timo Funk
Hess Klifo
Sebastian Kiefer
Dietlein Klifo
Malin Kalski
Titus J. Brinker