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This review highlights AI's role in detecting subtle changes in respiratory health, indicating its potential in clinical settings.
Artificial intelligence (AI) is increasingly being implemented in all spheres of life, occupying a special place in modern medicine. The main advantage of AI in comparison with the work of specialist doctors is the rapid processing of large amounts of data with the detection of microscopic changes inaccessible to human senses. Nevertheless, there are significant drawbacks in the work of AI that limit its use in routine medical practice, for example, the high dependence of accuracy on the quality of the training sample and the principles of identifying patterns that are not fully known, as well as the lack of strict standardization regulations.
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Budnevsky et al. (2026) studied this question.
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