Emmanuel Mignot, MD, PhD, Stanford University Center for Sleep Sciences, Palo Alto, CA, discusses the current state of sleep science and the future direction of the field. Prof. Mignot describes sleep being at a confluence of multiple revolutions; devices are being revolutionized regarding portable wearability, and there have been huge advances in data analysis. Artificial intelligence (AI) started around seven years ago in sleep science, with deep learning being at the forefront of research. In many cases, AI can score sleep studies better than human analysis. This has been evident in deep learning AI diagnosing narcolepsy through sleep architecture more effectively than human NAP testing. There are still challenges in the use of AI in sleep apnea; humans are unreliable, leading to complications in producing reliable results. There is promise that this technology will further develop and allow for more consistent data collection from home – revolutionizing the way patients are treated. This interview took place at the World Sleep Congress 2022 in Rome, Italy.
Dr Mignot reports the following disclosures: Takeda, Jazz, Avedel, Dreem