Presenting quantum fuzzy inference for sleep diagnosis

Samuel Magaz-Romero gave a presentation on his latest work on Quantum Fuzzy Inference Systems

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is an annual international event dedicated to exploring AI theories, technologies, and applications across areas of scientific, social, and economic importance for the Pacific Rim. PRICAI 2025 took place in Wellington, New Zealand, and this year included, among many other topics and panels, a workshop on Quantum Computing for Search and Optimization Problems.

In this workshop, Samuel Magaz-Romero (predoctoral researcher in NEXT-GEN-SOMNUS) had the oportunity to present the latest results from his work on Quantum Fuzzy Inference Systems, in particular regarding its application for the detection of sleep apneas. By developing several fuzzy inferential units, the systems is able to output whether a patient undergoes an apneic episode with only a few inputs.

This work presents an initial approach to the diagnosis of multiple sleep events, as it allows for the concatenation of several inferential units for a more appropiate representation of the knowledge elements. With the quantum paradigm, the representation of uncertain information lies at the core of the model, and it is expected to obtain a robust systems for reasoning under uncertainty.

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