Next-generation AI for acoustic neuromas: From imaging to informed treatment decisions

Next-generation AI for acoustic neuromas: From imaging to informed treatment decisions - KIfA

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00039943

Enrollment

300

Registered

2026-04-15

Start date

2026-05-11

Completion date

Unknown

Last updated

2026-06-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

acoustic neuroma

Interventions

Group 1: AI-supported retrospective analysis of all patients with vestibular schwannomas (VS), also known as acoustic neuromas, in the period from 2013-2025.

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Patients with an acoustic neuroma Patients with other diseases but intact landmarks, as "controls"

Exclusion criteria

Exclusion criteria: omitted

Design outcomes

Primary

Measure	Time frame
The main goal of this project is the automated detection, segmentation and classification of VS as well as the differentiation between normal and neoplastically altered nerve structures using MRI scans with the help of an AI-based algorithm.	—

Secondary

Measure	Time frame
Achieving a sensitivity of at least 85% for the detection of VS and a specificity of 90% with which a distinction can be made between a VS and patients with no neoplastic change.	—

Countries

Germany

Contacts

Public ContactKatharina Klinger

Klinik für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie

Katharina.Klinger@uk-essen.de0201 723-0

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Jun 29, 2026