免責事項: 本サイトは、FDA、ClinicalTrials.gov、PubMed、SEC EDGAR などの公式公開データを一般参考用に集約するものであり、医学的助言、診断、治療推奨、投資助言を構成しません。

臨床試験

AI-assisted Diagnosis, Triage and Assessment of Hearing Loss and Tinnitus

NCT: NCT07586098 · NOT_YET_RECRUITING

NCT識別子NCT07586098
ステータスNOT_YET_RECRUITING
開始日2026-05-30
完了2027-08-31
SponsorRoyal Cornwall Hospitals Trust (OTHER)
First posted
Last updated

概要

Hearing loss affects approximately 11 million people in the UK, while tinnitus impacts around 7 million. Both conditions can significantly reduce quality of life and are linked to poorer mental health and employment challenges. Each year, tinnitus alone accounts for more than one million GP appointments, and patients referred to hospital ear, nose and throat (ENT) services often face long delays, sometimes exceeding a year, before their first assessment. To address this demand, the Royal Cornwall Hospitals NHS Trust has developed a virtual ENT clinic. Patients undergo a validated hearing test in person and complete online questionnaires. Clinicians then review these data to determine next steps, which may include discharge with advice, referral for imaging, or a face-to-face consultation. Initial trials demonstrated that the majority of patients could be managed virtually, substantially reducing waiting times. However, clinicians must still review every case, limiting capacity for patients who require direct care. This project builds on the virtual clinic by introducing artificial intelligence (AI) to support the assessment process. Using explainable AI methods, the system will be trained to replicate clinician-level decision-making while providing transparent reasoning for its recommendations. The study will evaluate how closely AI-generated outcomes align with clinician assessments, with all cases continuing to receive a clinician's final review. Clinicians will not be aware of the recommendations produced by the AI tool, but the study aims to measure how concordant AI recommendations are with clinician assessments. If the AI tool's clinical recommendations closely align with clinician recommendations (the gold standard for care), the AI tool could be introduced as a clinical recommendation assistant tool, streamlining the triage and management of hearing loss and tinnitus, enabling clinicians to focus on complex cases, accelerating access to care, and improving efficiency.

公式ソース

ClinicalTrials.govで見る →

データはClinicalTrials.gov APIから取得しています。最新のステータスは公式記録をご確認ください。

↑