A research team at Seoul National University Bundang Hospital has developed an artificial intelligence model that can detect sleep apnea.
- A research team at SNUBH has developed an AI model that can detect sleep apnea.
- The model was created to help solve the problem of limitations in hospitals.
- The AI model can detect sleep apnea by analyzing the head and neck X-ray images.
SNBUH Develops an Artificial Intelligence Model
A research team at SNUBH has developed an AI model that detects sleep apnea. According to the Korea Biomedical Review report, the AI model was created to help solve the problem of limitations in hospitals. If sleep apnea is suspected, hospitals run different diagnostic tests to confirm if it is sleep apnea. Still, they have limitations due to the fact that some of the equipment is not fit for use in multi-person settings and some have low accuracy rates.
Professor Yun Chang-ho of the Department of Neurology, while commenting on AI development, said that it will help save a lot of lives.
“The prevalence of sleep apnea is estimated to be around 1 billion adults aged 30-69 worldwide, and the number is growing.” “Early detection and treatment of sleep apnea can prevent further worsening symptoms and improve quality of life,” Yun said.
Professor Jeong Han-Gil, also in the Department of Neurology, commented, “The team developed an AI model that can screen for sleep apnea using only head and neck X-ray images without other clinical predictors. With its accuracy and affordability, the team expects the model to play a major role in the early diagnosis and treatment of sleep apnea.”
What is Sleep Apnea?
Sleep apnea is a sleep disorder in which breathing stops for a while or is intermittently disrupted, according to the Korea Biomedical Review. This sleep unrest, if not treated, can lead to chronic fatigue, drowsiness, or poor sleep quality and can increase the risk of cardiovascular diseases like stroke, heart attack, and high blood pressure.
The Research Team
The research team that created the AI model that can identify sleep apnea was led by Professor Jeong Han-gil, Yun Chang-ho, Kim Tack-eun, and Professor Lee Seung-hoon at Korea University Asan Hospital and Robert James Thomas at Beth Israel Deaconess Medical Center.
The report said that the model is able to detect sleep apnea by analyzing head and neck X-ray images that can be seen with the naked eye, and results of the testing have shown that it is accurate, which will help in the early detection and treatment of sleep apnea.
AI and Multiple Industries.
This is one of the major developments in the AI industry since the dawn of OpenAI’s ChatGPT. While many industry leaders have called for a pause in AI development, it has become increasingly obvious that AI development is going to disrupt not just the tech industry but multiple industries.