ADC	Apparent diffusion coefficient
AI	Artificial intelligence
AUA	The American Urological Association
AUC	Area under the curve
AUROC	Area under the receiver operating characteristic curve
bpMRI	Bi-parametric MRI
CAD	Computer aided diagnosis
CLAIM	Checklist for artificial intelligence in medical imaging
CNN	Convolutional neural network
csPCa	Clinically significant prostate cancer
DCE	Dynamic contrast-enhanced
DL	Deep learning
DWI	Diffusion-weighted imaging
EAU	European Association of Urology
EPE	Extraprostatic extension
ESUR	The European Society of Urogenital Radiology
FROC	Free-response receiver operating characteristic
GAN	Generative adversarial network
IV	Intravenous
ISUP	International Society of Urological Pathology
ML	Machine learning
mpMRI	Multi-parametric MRI
MRI	Magnetic resonance imaging
NICE	The National Institute for Health and Care Excellence
NPV	Negative predictive value
PACS	Picture archiving and communication system
PCa	Prostate cancer
PI-CAI	Prostate imaging: cancer AI
PI-QUAL	Prostate imaging quality
PI-RADS	Prostate imaging reporting and data system
PPV	Positive predictive value
PRECISION	Prostate evaluation for clinically important disease: sampling using image guidance or not?
PSA	Prostate-specific antigen
PZ	Peripheral zone
RNN	Recurrent neural network
ROC	Receiver operating characteristic
SNR	Signal-to-noise ratio
STARD	Standards for reporting of diagnostic accuracy studies
SVM	Support vector machine
T1WI	T1-weighted imaging
T2WI	T2-weighted imaging
TRUS	Traditional transrectal ultrasound
TSE	Turbo spin echo