AI-based decision support improves reproducibility of tumor response assessment in neuro-oncology: an international multi-reader study.

Phillipp VollmuthMartha FoltynRaymond Y HuangNorbert GalldiksJens PetersenFabian IsenseeMartin J van den BentFrederik BarkhofJie Eun Park Yae Won Park Sung Soo AhnGianluca BrugnaraHagen MeredigRajan JainMarion SmitsWhitney B PopeKlaus Maier-HeinMichael WellerPatrick Y WenWolfgang Wick Martin Bendszus

Published in: Neuro-oncology (2022)

AI-based decision support has the potential to yield more reproducible and standardized assessment of treatment response in neuro-oncology as compared to manual 2-dimensional measurements of tumor burden, particularly in patients with lower-grade gliomas. A fully-functional version of this AI-based processing pipeline is provided as open-source (https://github.com/NeuroAI-HD/HD-GLIO-XNAT).

Keyphrases

artificial intelligence
palliative care
machine learning
deep learning
risk assessment
human health