Artificial intelligence and radiomics applications in adrenal lesions: a systematic review.

ABSTRACT:

Background

Adrenal lesions, often incidentally detected, present diagnostic challenges in distinguishing benign from malignant or hormonally active lesions. Conventional imaging (computed tomography/magnetic resonance imaging (CT/MRI)) has limitations, driving interest in artificial intelligence (AI) and radiomics for enhanced accuracy.

Objectives

To systematically evaluate AI and radiomics applications in adrenal lesion characterization, focusing on diagnostic performance, methodologies, and clinical utility.

Design

PRISMA-guided systematic review of studies published up to June 2024.

Data sources and methods

PubMed, Scopus, Web of Science, and Google Scholar were searched using the keywords: adrenal lesions, AI, radiomics, and machine learning.

SUBMITTER: Ferro M 

PROVIDER: S-EPMC12319203 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature