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Develop and evaluate NeuralRTE, an artificial intelligence framework designed to model forward photon transport efficiently in turbid, tissue-like media for biomedical optics applications.

August 13, 2025Computers in Biology and MedicineOpen Access

NeuralRTE: Forward photon transport simulations in turbid media aided by machine learning and artificial intelligence

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Develop and evaluate NeuralRTE, an artificial intelligence framework designed to model forward photon transport efficiently in turbid, tissue-like media for biomedical optics applications.
Constructed a modular pipeline for dataset generation, model training, and testing to evaluate machine learning capabilities against standard simulation approaches.
Validated algorithm accuracy and computational performance by directly comparing outputs against analytical and numerical ground-truth benchmarks.
Demonstrated practical utility by generating three-dimensional digital twin renderings of melanoma-affected human skin tissue.
Achieved high simulation accuracy and computational speed relative to established analytical and numerical methodologies.
Demonstrated power-efficient execution suitable for deployment in embedded hardware systems.

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Implication

Pilot simulation study demonstrates accurate photon transport modeling in tissue-like turbid media, suggesting potential for embedded biomedical devices and digital twins.

Cite This Study

Nguyen et al. (2025) studied this question.

synapsesocial.com/papers/6a0f5d97d13714ec96fe1601 https://doi.org/10.1016/j.compbiomed.2025.110892

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Implication

Pilot simulation study demonstrates accurate photon transport modeling in tissue-like turbid media, suggesting potential for embedded biomedical devices and digital twins.

NeuralRTE: Forward photon transport simulations in turbid media aided by machine learning and artificial intelligence

Key Points

Discussion

Implication

Cite This Study

NeuralRTE: Forward photon transport simulations in turbid media aided by machine learning and artificial intelligence

Key Points

Discussion

Implication

Cite This Study

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