Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review.

Nikita SushentsevNadia Moreira Da SilvaMichael YeungTristan BarrettEvis SalaMichael RobertsLeonardo Rundo

Published in: Insights into imaging (2022)

We observed comparable performance of the two classes of AI methods and identified a number of common methodological limitations and biases that future studies will need to address to ensure the generalisability of the developed models.

Keyphrases

artificial intelligence
deep learning
machine learning
prostate cancer
big data
high throughput
magnetic resonance imaging
radical prostatectomy
contrast enhanced
current status
loop mediated isothermal amplification
diffusion weighted imaging
case control
quantum dots