Artificial intelligence in obstructive sleep apnea: Transforming diagnosis and management

Area of Science:

• Sleep Medicine
• Artificial Intelligence in Healthcare
• Medical Diagnostics

Background:

• Obstructive Sleep Apnea (OSA) is a prevalent sleep disorder with serious health implications due to repeated airway collapse.
• Traditional polysomnography for OSA diagnosis is time-consuming and resource-intensive, often causing diagnostic delays.
• Emerging AI technologies present opportunities to revolutionize OSA diagnosis and management.

Purpose of the Study:

• To review the current applications of artificial intelligence in the field of Obstructive Sleep Apnea.
• To highlight AI's role in automating sleep data analysis and improving diagnostic precision.
• To discuss how AI can optimize treatment strategies and personalize care for OSA patients.

Main Methods:

• Review of recent literature on AI applications in Obstructive Sleep Apnea diagnosis and management.
• Analysis of AI's capabilities in processing and interpreting sleep study data.
• Evaluation of AI's potential impact on diagnostic workflows and treatment personalization.

Main Results:

• AI demonstrates significant potential in automating the analysis of complex sleep data.
• AI-driven tools can enhance the accuracy and efficiency of Obstructive Sleep Apnea diagnosis.
• AI facilitates the development of personalized treatment plans for OSA patients.

Conclusions:

• Artificial intelligence is a transformative tool for addressing challenges in Obstructive Sleep Apnea care.
• AI advancements promise more accessible, efficient, and personalized diagnostic and treatment pathways for OSA.
• Further integration of AI in sleep medicine can significantly improve patient outcomes.