Prediction of Individual Speech Outcomes with Cochlear Implants: Limitations and Opportunities for Clinical Translation
· 2026-09-09 · 原文
DOI：10.64898/2026.09.07.26362458v1?rss=1预印本：medRxiv开放获取：绿色OA
Objectives: Speech outcomes with cochlear implants (CIs) vary widely across patients and remain difficult to predict from pre-operative data. This study addressed three questions with clinical relevance: (RQ1) Can AI models predict individual CI speech outcomes, and if not, why? (RQ2) Can pre-operative data be used to identify patients at risk of poor outcomes? (RQ3) Do post-operative speech scores early after implantation contain prognostic information for later speech outcomes? Design: A retrospective analysis was performed using data from a single centre contributing to the Swiss National Cochlear Implant Database (N = 771 patients; 473 adults after exclusion of single-sided deafness). For RQ1, pre-operative data and seven prediction methods, from standard linear regression to recent ma
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1. 人话版
Objectives: Speech outcomes with cochlear implants (CIs) vary widely across patients and remain difficult to predict from pre-operative data.
This study addressed three questions with clinical relevance: (RQ1) Can AI models predict individual CI speech outcomes, and if not, why?
2. 领域脉络
来源板块：板块一 · 研究前沿。
3. 机制拆解
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4. 证据与数字
(RQ2) Can pre-operative data be used to identify patients at risk of poor outcomes?
(RQ3) Do post-operative speech scores early after implantation contain prognostic information for later speech outcomes?
Design: A retrospective analysis was performed using data from a single centre contributing to the Swiss National Cochlear Implant Database (N = 771 patients; 473 adults after exclusion of single-sided deafness).
5. 反例与边界
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