What question did this study set out to answer?

The study aims to evaluate the effectiveness of infrared thermography combined with machine learning for skin cancer screening.

January 26, 2026Open Access

Infrared Thermography and Machine Learning for Skin Cancer Screening: A Benchmarking and Deployment Study

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Benchmarking evaluates infrared thermography with machine learning for skin cancer detection, suggesting improved diagnostic accuracy.

The study aims to evaluate the effectiveness of infrared thermography combined with machine learning for skin cancer screening.
Comprehensive benchmarking of infrared thermography systems
Assessment of multiple machine learning strategies
Evaluation under realistic acquisition conditions
Focus on robustness, explainability, and operational feasibility
Demonstrated the potential for automated screening pipelines
Identified pathways for safe clinical integration
Advanced understanding of thermographic decision support systems

Papadakis et al. (2022) studied this question.

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