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Cited by 3AI in cancer detectionCutaneous Melanoma Detection and ManagementArtificial Intelligence in Healthcare and Education

Artificial Intelligence and Machine Learning Transforming Dermatopathology with Diagnosis and Predictive Analytics

Open access
Flores, Justin, Misra, Radhika, Shah, Bijoy, Williams, Yazmin, Haghighat, Bardya, Miranda, Genessiss, Jani, Preet, Frasier, Kelly·2025·Dermis.
DOI 10.35702/derm.10029
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Abstract

Dermis is an independent open-access Dermatology journal dedicated to dermatology research professionals. It is a leading peer-reviewed journal that publishes new and significant research articles in the field of dermatology.

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  • Together, these metrics ensure that AI systems are accurate and generalizable for integration into dermatopathology workflow.

    “Together, these metrics ensure that AI systems are accurate and generalizable for integration into dermatopathology workflow [72]; however, discrimination metrics alone may not fully reflect clinical utility.”

    From Artificial Intelligence in Dermatopathology: An Update and Review of the Current Literature (2026) · cites this paper as [72]

    The Introduction’s performance-metrics discussion links diagnostic metrics to accuracy and a role in clinical practice. But the Introduction also says dataset bias remains a challenge and rigorous validation across diverse populations is needed; it does not say the metrics themselves ensure generalizability or readiness for workflow integration. No page numbers are available in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

  • Federated learning allows AI models to be trained across institutions without transferring patient data.

    “Federated learning allows AI models to be trained across institutions without transferring patient data [72].”

    From Artificial Intelligence in Dermatopathology: An Update and Review of the Current Literature (2026) · cites this paper as [72]

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Research works printed but not linked: 36

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Authors
Flores, J., Misra, R., Shah, B., Williams, Y., Haghighat, B., Miranda, G., Jani, P., & Frasier, K.
ORCID
Frasier, Kelly
Venue
Dermis.
Publisher
Magnus Med Club LLC - USA
Published
2025-10-28
Volume
5
Issue
1
ISSN
2998-2502 (ISSN-L)
DOI
10.35702/derm.10029
OpenAlex
W4410375324
Cited by
3
References
0
Citations by year
2026: 1 · 2025: 2
FWCI
1.21
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
Dermis. (publishedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
artificial intelligence, machine learning, dermatopathology, dermatological diagnosis, predictive analytics

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