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trié(s) par (Pertinence décroissant(e), Titre croissant(e)) Affiner la rechercheArticle
Jan-Willem A. Wasmann ; Cris P. Lanting ; Wendy J. Huinck ; Emmanuel A. M. Mylanus ; Jeroen W. van der Laak ; Paul J. Govaerts ; De Wet Swanepoel ; David R. Moore ; Dennis L. Barbour |he global digital transformation enables computational audiology for advanced clinical applications that can reduce the global burden of hearing loss. In this article, we describe emerging hearing-related artificial intelligence applications and[...]Article
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Objectives: Previous research has shown that children with cochlear implants (CIs) encounter more communication difficulties than their normal-hearing (NH) peers in kindergarten and elementary schools. Yet, little is known about the potential li[...]Article
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Justine Wathour ; Paul J. Govaerts ; Lucie Derue ; Suzanne Vanderbemden ; Hélène Huaux ; Emilie Lacroix ; Naima Deggouj |Objective: A prospective, longitudinal, randomized controlled trial with an original crossover design for 1 year was conducted to compare manual fitting to artificial intelligence-based fitting in newly implanted patients. Design: Twenty-four p[...]Article
La compréhension et la prédiction des changements des MAP sur les courants électriques délivrés par les électrodes de l’implant cochléaire (IC) constituent un challenge. C’est, cependant, un prérequis important pour programmer efficacement ces s[...]Article
This study aimed to compare the audiological outcomes of cochlear reimplantation with those of the first cochlear implant (CI). A retrospective analysis was performed on the data of all CI recipients who received the first CI at the age of 8 ye[...]Article
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The newest Nucleus CI processor, the CP900, has two new options to improve speech-in-noise perception: (1) use of an adaptive directional microphone (SCAN mode) and (2) wireless connection to MiniMic1 and MiniMic2 wireless remote microphones. De[...]
