AI Analyzed 585,000 Hours of Sleep Data—What It Revealed About Disease, Dementia, and the Hidden Role of Breathing
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
-
ナレーター:
-
著者:
A groundbreaking study published in Nature Medicine analyzed more than 585,000 hours of sleep data from 65,000 patients, using artificial intelligence to identify patterns linked to over 130 diseases—including dementia, heart failure, stroke, kidney disease, and other chronic health conditions.
In this episode, Dr. Mark Cruz and Richard dive into what makes this research so compelling and what they believe the study may have overlooked. They explore how AI is transforming healthcare through large-scale pattern recognition, why sleep studies can reveal powerful predictors of future disease, and how airway dysfunction and breathing-related issues may play a far greater role than most healthcare systems recognize.
The conversation covers chronic intermittent hypoxia, autonomic nervous system stress, Alzheimer's disease, deep sleep, preventive healthcare, and the growing role dentists can play in identifying health issues before they become life-altering conditions. The episode also examines why modern medicine often focuses on managing disease after it appears rather than preventing it at its source.
If you're interested in AI, sleep science, airway health, longevity, and the future of preventive medicine, this is a conversation you won't want to miss.
_____________________________________________________________________________________________
Subscribe for new weekly episodes featuring clinical conversations, emerging perspectives, and practical insights on airway-focused care and total-body health.
Airway Nexus — where science meets clinical insight.