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| Home > Publications database > Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study. > print |
| 001 | 301729 | ||
| 005 | 20250601020913.0 | ||
| 024 | 7 | _ | |a 10.1038/s41467-025-59532-5 |2 doi |
| 024 | 7 | _ | |a pmid:40399272 |2 pmid |
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| 037 | _ | _ | |a DKFZ-2025-01121 |
| 041 | _ | _ | |a English |
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| 100 | 1 | _ | |a Chanda, Tirtha |0 P:(DE-He78)605de220e3ec6aa32f3da6a0a492da6c |b 0 |e First author |u dkfz |
| 245 | _ | _ | |a Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study. |
| 260 | _ | _ | |a [London] |c 2025 |b Springer Nature |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1748614826_4367 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a #EA:C140#LA:C140# |
| 520 | _ | _ | |a 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. |
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| 650 | _ | 2 | |a Melanoma: diagnosis |2 MeSH |
| 650 | _ | 2 | |a Melanoma: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Artificial Intelligence |2 MeSH |
| 650 | _ | 2 | |a Eye-Tracking Technology |2 MeSH |
| 650 | _ | 2 | |a Dermatologists |2 MeSH |
| 650 | _ | 2 | |a Skin Neoplasms: diagnosis |2 MeSH |
| 650 | _ | 2 | |a Skin Neoplasms: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Female |2 MeSH |
| 650 | _ | 2 | |a Dermoscopy: methods |2 MeSH |
| 650 | _ | 2 | |a Male |2 MeSH |
| 650 | _ | 2 | |a Nevus: diagnosis |2 MeSH |
| 650 | _ | 2 | |a Nevus: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Adult |2 MeSH |
| 650 | _ | 2 | |a Middle Aged |2 MeSH |
| 700 | 1 | _ | |a Haggenmueller, Sarah |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Bucher, Tabea |0 P:(DE-He78)73b5efbed9fd28568181090333aff1c3 |b 2 |
| 700 | 1 | _ | |a Holland-Letz, Tim |0 P:(DE-He78)457c042884c901eb0a02c18bb1d30103 |b 3 |u dkfz |
| 700 | 1 | _ | |a Kittler, Harald |0 0000-0002-0051-8016 |b 4 |
| 700 | 1 | _ | |a Tschandl, Philipp |0 0000-0003-0391-7810 |b 5 |
| 700 | 1 | _ | |a Heppt, Markus V |0 0000-0003-4603-1825 |b 6 |
| 700 | 1 | _ | |a Berking, Carola |0 0000-0003-0229-8931 |b 7 |
| 700 | 1 | _ | |a Utikal, Jochen |0 P:(DE-He78)a229f7724466e7efadf4a1ace1ff8af3 |b 8 |u dkfz |
| 700 | 1 | _ | |a Schilling, Bastian |b 9 |
| 700 | 1 | _ | |a Buerger, Claudia |b 10 |
| 700 | 1 | _ | |a Navarrete-Dechent, Cristian |b 11 |
| 700 | 1 | _ | |a Goebeler, Matthias |0 0000-0001-7095-9848 |b 12 |
| 700 | 1 | _ | |a Kather, Jakob Nikolas |b 13 |
| 700 | 1 | _ | |a Schneider, Carolin V |b 14 |
| 700 | 1 | _ | |a Durani, Benjamin |b 15 |
| 700 | 1 | _ | |a Durani, Hendrike |b 16 |
| 700 | 1 | _ | |a Jansen, Martin |b 17 |
| 700 | 1 | _ | |a Wacker, Juliane |b 18 |
| 700 | 1 | _ | |a Wacker, Joerg |b 19 |
| 700 | 1 | _ | |a Consortium, Reader Study |b 20 |e Collaboration Author |
| 700 | 1 | _ | |a Brinker, Titus |0 P:(DE-He78)1e33961c8780aca9b76d776d1fdc1ebb |b 21 |e Last author |u dkfz |
| 700 | 1 | _ | |a Booken, Nina |b 22 |e Contributor |
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| 700 | 1 | _ | |a Welzel, Julia |b 24 |e Contributor |
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| 700 | 1 | _ | |a Dimitriou, Florentia |b 26 |e Contributor |
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| 700 | 1 | _ | |a Bechara, Falk G |b 31 |e Contributor |
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| 700 | 1 | _ | |a Gössinger, Elisabeth |b 34 |e Contributor |
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| 700 | 1 | _ | |a Cenk, Hülya |b 57 |e Contributor |
| 700 | 1 | _ | |a Hudson, Sharon |b 58 |e Contributor |
| 700 | 1 | _ | |a Dragolov, Miroslav |b 59 |e Contributor |
| 700 | 1 | _ | |a Zafirovik, Zorica |b 60 |e Contributor |
| 700 | 1 | _ | |a Jocic, Ivana |b 61 |e Contributor |
| 700 | 1 | _ | |a Balcere, Alise |b 62 |e Contributor |
| 700 | 1 | _ | |a Lengyel, Zsuzsanna |b 63 |e Contributor |
| 700 | 1 | _ | |a Salava, Alexander |b 64 |e Contributor |
| 700 | 1 | _ | |a Hoorens, Isabelle |b 65 |e Contributor |
| 700 | 1 | _ | |a Saa, Sonia Rodriguez |b 66 |e Contributor |
| 700 | 1 | _ | |a Rácz, Emõke |b 67 |e Contributor |
| 700 | 1 | _ | |a Salerni, Gabriel |b 68 |e Contributor |
| 700 | 1 | _ | |a Manuelyan, Karen |b 69 |e Contributor |
| 700 | 1 | _ | |a Ammar, Amr Mohammad |b 70 |e Contributor |
| 700 | 1 | _ | |a Erdmann, Michael |b 71 |e Contributor |
| 700 | 1 | _ | |a Wagner, Nicola |b 72 |e Contributor |
| 700 | 1 | _ | |a Sambale, Jannik |b 73 |e Contributor |
| 700 | 1 | _ | |a Kemenes, Stephan |b 74 |e Contributor |
| 700 | 1 | _ | |a Ronicke, Moritz |b 75 |e Contributor |
| 700 | 1 | _ | |a Sollfrank, Lukas |b 76 |e Contributor |
| 700 | 1 | _ | |a Bosch-Voskens, Caroline |b 77 |e Contributor |
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| 700 | 1 | _ | |a Zieringer, Lisa |b 81 |e Contributor |
| 700 | 1 | _ | |a Hoener, Michael |b 82 |e Contributor |
| 700 | 1 | _ | |a Rabe, Leonie |b 83 |e Contributor |
| 700 | 1 | _ | |a Sackmann, Tim |b 84 |e Contributor |
| 700 | 1 | _ | |a Baumert, Julia |b 85 |e Contributor |
| 700 | 1 | _ | |a Schaarschmidt, Marthe Lisa |b 86 |e Contributor |
| 700 | 1 | _ | |a Ninosu, Nadia |b 87 |e Contributor |
| 700 | 1 | _ | |a Yilmaz, Kaan |b 88 |e Contributor |
| 700 | 1 | _ | |a Dionysia, Danai |b 89 |e Contributor |
| 700 | 1 | _ | |a Christ, Franca |b 90 |e Contributor |
| 700 | 1 | _ | |a Fahimi, Sarah |b 91 |e Contributor |
| 700 | 1 | _ | |a Loos, Sabina |b 92 |e Contributor |
| 700 | 1 | _ | |a Sachweizer, Ani |b 93 |e Contributor |
| 700 | 1 | _ | |a Gosmann, Janika |b 94 |e Contributor |
| 700 | 1 | _ | |a Weberschock, Tobias |b 95 |e Contributor |
| 700 | 1 | _ | |a Erdogdu, Ufuk |b 96 |e Contributor |
| 700 | 1 | _ | |a Buchinger, Amelie |b 97 |e Contributor |
| 700 | 1 | _ | |a Lunderstedt, Jasmin |b 98 |e Contributor |
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| 700 | 1 | _ | |a Klifo, Dietlein |b 102 |e Contributor |
| 700 | 1 | _ | |a Kalski, Malin |b 103 |e Contributor |
| 773 | _ | _ | |a 10.1038/s41467-025-59532-5 |g Vol. 16, no. 1, p. 4739 |0 PERI:(DE-600)2553671-0 |n 1 |p 4739 |t Nature Communications |v 16 |y 2025 |x 2041-1723 |
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