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September 17, 2026Frontiers in Artificial IntelligenceOpen Access

Diagnostic accuracy of machine-learning–based image analysis for early detection of Kaposi sarcoma in people living with HIV

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DIDavid Chinaecherem InnocentIIIncrease Praise InnocentRIRejoicing Chijindum Innocent

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Cite This Study

Innocent et al. (2026) studied this question.

synapsesocial.com/papers/6aabb6635f706d05830e4bd6https://doi.org/10.3389/frai.2026.1894174
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial Intelligence–Based Diagnosis of Kaposi Sarcoma Using Digital Photographs in Dark-Skinned Patients in Uganda2026
  2. 2Diagnostic concordance and delayed recognition: a case of atypical Kaposi sarcoma2026
  3. 3Performance and clinical utility of image-based machine learning models for the diagnosis of neglected tropical diseases in low- and middle-income countries: a systematic review2026
  4. 4Implementation of teledermatology to identify and expedite care for Kaposi sarcoma2026
  5. 5Performance of Machine Learning in Diagnosing KRAS (Kirsten Rat Sarcoma) Mutations in Colorectal Cancer: Systematic Review and Meta-Analysis2025