Pharyngeal Phenotyping System for Obstructive Sleep Apnea Using AI
Summary
The European Patent Office published patent application EP4504047A2 for Vanderbilt University, covering an AI-based system for pharyngeal phenotyping in obstructive sleep apnea diagnosis. The invention utilizes machine learning to analyze pharyngeal characteristics to assist in OSA diagnosis and treatment. The patent names three inventors: Fabbri, Kent, and Ye.
What changed
The EPO published patent EP4504047A2 titled 'Systems and Methods for Pharyngeal Phenotyping in Obstructive Sleep Apnea,' filed by Vanderbilt University. The invention relates to AI/ML-based systems (G06N 3/02, G06N 20/00) combined with respiratory measurement technology (A61B 5/08) for analyzing pharyngeal phenotypes to aid in obstructive sleep apnea diagnosis. The patent is designated across 30 European states including AT, BE, DE, ES, FR, GB, IT, NL, and others.
This patent publication establishes intellectual property rights for Vanderbilt University in the European region. Medical device companies and healthcare providers developing or using AI-based sleep apnea diagnostic systems should be aware of this existing patent to identify potential licensing needs or design-around considerations. Researchers in this field may need to ensure their work does not infringe on these claims.
Source document (simplified)
SYSTEMS AND METHODS FOR PHARYNGEAL PHENOTYPING IN OBSTRUCTIVE SLEEP APNEA
Publication EP4504047A2 Kind: A2 Mar 25, 2026
Applicants
Vanderbilt University
Inventors
FABBRI, Daniel, KENT, David T., YE, Cheng
IPC Classifications
A61B 5/08 20060101AFI20260216BHEP G06N 3/02 20060101ALI20260216BHEP G06N 20/00 20190101ALI20260216BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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