Artificial Intelligence for Diagnosis and Treatment of Dysphagia

Introduction

In recent years, technological advances in the use of artificial intelligence (AI) in medicine have demonstrated promising potential in the detection and care of dysphagic patients. Several studies have explored different AI methodologies in the search for diagnostic and therapeutic accuracy for dysphagic patients, while its clinical implementation remains in progress. Improvements in early diagnosis in a scalable manner help public health managers to take more urgent initial measures, always seeking to improve the patient's clinical condition and, mainly, their well-being when it comes to quality of life. Despite promising results in research settings, the transition to widespread clinical use faces important barriers ahead. These include the need for extensive validation in diverse patient populations, integration with existing healthcare systems, and addressing concerns related to data privacy and security. Additionally, there is a need for standardized protocols and guidelines to ensure consistent and reliable use of AI tools in clinical practice. As the field continues to evolve, ongoing collaboration between researchers, clinicians, and technology developers will be crucial to overcoming these challenges and fully realizing the potential of AI in dysphagia management.

In this editorial, we raise the potential use of AI in the diagnosis and treatment of dysphagia. A few selected studies that hold promise for the clinical implementation of AI are discussed, as well as their limitations and further steps. Regarding diagnosis, AI may assist in identifying radiation-free alternatives, remote monitoring, and deep learning methods. Regarding treatment, AI-based treatment is still in its early days with treatment planning.

Publikationsverlauf

Artikel online veröffentlicht:
23. Januar 2025

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