The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Automated Dermatological Diagnosis: Hype or Reality?
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“For example, identifying melanoma from images of patients with dark skin is more challenging than those with light skin [70, 71].”
From Fairness of artificial intelligence in healthcare: review and recommendations (2024) · cites this paper as [71]
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Dermatologist-level classification of skin cancer with deep neural networks
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017) · Nature · doi:10.1038/nature21056 · Cited by 14,362
Can we open the black box of AI?
Castelvecchi, D. (2016) · Nature · doi:10.1038/538020a · Cited by 1,773
Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition
Sharif, M., Bhagavatula, S., Bauer, L., & Reiter, M. K. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2976749.2978392 · Cited by 1,530
Han, S. S., Kim, M. S., Lim, W., Park, G., Park, I., & Chang, S. E. (2018) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2018.01.028 · Cited by 740
Marchetti, M., Codella, N., Dusza, S., Gutman, D. A., Helba, B., Kalloo, A., Mishra, N. K., Carrera, C., Celebi, M., Defazio, J., et al. (2017) · Journal of American Academy of Dermatology · doi:10.1016/j.jaad.2017.08.016 · Cited by 297
Self-citationMenzies, S. W., Bischof, L., Talbot, H., Gutenev, A., Avramidis, M., Wong, L., Lo, S. K., Mackellar, G., Skladnev, V., McCarthy, W. H., et al. (2005) · Archives of Dermatology · doi:10.1001/archderm.141.11.1388 · Cited by 156
Computer-aided classification of melanocytic lesions using dermoscopic images
Ferris, L. K., Harkes, J., Gilbert, B., Winger, D. G., Golubets, K., Akilov, O. E., & Satyanarayanan, M. (2015) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2015.07.028 · Cited by 104
Potential Overdiagnosis of Basal Cell Carcinoma in Older Patients With Limited Life Expectancy
Linos, E., Schroeder, S. A., & Chren, M. (2014) · JAMA · doi:10.1001/jama.2014.9655 · Cited by 49
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Human-computer collaboration for skin cancer recognition
Tschandl, P., Rinner, C., Apalla, Z., Argenziano, G., Codella, N., Halpern, A., Janda, M., Lallas, A., Longo, C., Malvehy, J., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0942-0 · Cited by 1,024
Self-citationFairness of artificial intelligence in healthcare: review and recommendations
Ueda, D., Kakinuma, T., Fujita, S., Kamagata, K., Fushimi, Y., Ito, R., Matsui, Y., Nozaki, T., Nakaura, T., Fujima, N., et al. (2024) · Japanese Journal of Radiology · doi:10.1007/s11604-023-01474-3 · Cited by 607
AI recognition of patient race in medical imaging: a modelling study
Gichoya, J. W., Banerjee, I., Bhimireddy, A. R., Burns, J. L., Celi, L. A., Chen, L.-C., Correa, R., Dullerud, N., Ghassemi, M., Huang, S.-C., et al. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00063-2 · Cited by 611
Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
Brinker, T. J., Hekler, A., Utikal, J. S., Grabe, N., Schadendorf, D., Klode, J., Berking, C., Steeb, T., Enk, A. H., & Kalle, C. V. (2018) · Journal of Medical Internet Research · doi:10.2196/11936 · Cited by 528
What is AI? Applications of artificial intelligence to dermatology
Du‐Harpur, X., Watt, F. M., Luscombe, N. M., & Lynch, M. D. (2020) · British Journal of Dermatology · doi:10.1111/bjd.18880 · Cited by 355
Metadata
- Authors
- Navarrete-Dechent, C., Dusza, S. W., Liopyris, K., Marghoob, A. A., Halpern, A. C., & Marchetti, M. A.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Marchetti, Michael A.
- ORCID
- Venue
- Journal of Investigative Dermatology
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 138
- Issue
- 10
- Pages
- 2277-2279
- ISSN
- 0022-202X (ISSN-L)
- PMC
- PMC7701995
- OpenAlex
- W2806487945
- Cited by
- 129
- References
- 8
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 21 · 2023: 16 · 2022: 21 · 2021: 11 · 2020: 24 · 2019: 10 · 2018: 6
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Investigative Dermatology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (P30CA008748)
- Topics
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence, deep learning, skin cancer classification, dermoscopic images, melanoma, computer-aided diagnosis, clinical implementation barriers
- MeSH terms
- Deep Learning, Algorithms, Humans, Skin Neoplasms
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