From Pixels to Prognosis: Artificial Intelligence and Machine Learning Models in Brain Tumour Mutation Prediction

Abstract

Brain tumours are a leading cause of death and disability,
impacting individuals across all ages, genders, and
ethnicities. They are primarily diagnosed using MRI but a
precise diagnosis is dependent on the molecular biology
of the tumour studied on the pathological specimen.
Artificial intelligence and machine learning are forging
new paths through diagnostic obstacles, offering the
intriguing benefits of non-invasive diagnosis, pattern
recognition, and outcome prediction from imaging data.
Here, we present a literature review on the role of
machine learning in tumour mutations using imaging
alone.
Keywords: brain tumor, artificial intelligence, machine
learning, tumor mutation.