AUTHOR=Qin Caijie , Hu Wenxing , Wang Xinsheng , Ma Xibo 

TITLE=Application of Artificial Intelligence in Diagnosis of Craniopharyngioma

JOURNAL=Frontiers in Neurology

VOLUME=Volume 12 - 2021

YEAR=2022

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2021.752119

DOI=10.3389/fneur.2021.752119

ISSN=1664-2295

ABSTRACT=Craniopharyngioma is a congenital brain tumor with clinical characteristics of  hypothalamic-pituitary dysfunction, increased intracranial pressure, and visual field disorders, among other injuries. Its clinical diagnosis mainly depends on radiological imaging (such as Computed Tomography, Magnetic Resonance Imaging). However, assessing numerous radiological images manually is a difficult process, and doctor’s experience has great influence on the diagnosis. The development of artificial intelligence has brought clinical diagnosis of craniopharyngioma a great transformation. This study reviews the application of artificial intelligence technology in clinical diagnosis of craniopharyngioma from the aspects of differential classification, prediction of tissue invasiveness and gene mutation, postoperative prediction and so on. Based on the reviews, the technical route of intelligent diagnosis based on traditional machine learning model and deep learning model are further proposed. Additionally, in terms of the limitations and possibilities of the development of artificial intelligence in craniopharyngioma  diagnosis, this study discusses the attentions required to future research, including few-shot learning, imbalanced dataset, semi-supervised models and multi-omics fusion.