Outcome prediction after Gamma Knife radiosurgery (GKRS) for vestibular schwannoma remains largely guided by tumor size, Koos grade, baseline symptoms, cochlear dose constraints, and institutional experience rather than individualized estimates of tumor progression and functional outcomes....
No immediate change to clinical audiology practice; THINKERS is a research-stage AI tool for neurosurgical outcome prediction in vestibular schwannoma and requires prospective validation before clinical adoption.
AI-assisted outcome prediction for vestibular schwannoma treatment could eventually help clinicians and patients make more informed decisions between observation, radiosurgery, and surgery, representing a step toward precision neuro-otology.
- 01THINKERS is a novel AI model combining neural network and knowledge-based expert reasoning (mixture-of-experts architecture).
- 02Designed to predict outcomes following Gamma Knife stereotactic radiosurgery for vestibular schwannoma.
- 03Published in Journal of Neuro-Oncology.
- 04Mixture-of-experts approach aims to improve interpretability over black-box neural networks alone.
- 05Requires prospective, multi-center validation before clinical deployment.
The THINKERS AI model can predict outcomes after Gamma Knife radiosurgery for vestibular schwannoma.
studypartially supportedCombining neural and knowledge-based reasoning improves predictive performance over single-model approaches.
studyunclear- PMID
- 42313294
- DOI
- 10.1007/s11060-026-05679-0.
- Journal
- Journal of Neuro-Oncology
- Publication type
- research_article
- Evidence level
- 4
- Population
- Patients with vestibular schwannoma undergoing Gamma Knife stereotactic radiosurgery
- Intervention
- THINKERS mixture-of-experts AI model for outcome prediction
Primary outcomes
Accuracy of AI-predicted outcomes following Gamma Knife radiosurgery; Model performance versus baseline prediction approaches
