Artificial Intelligence in Lymphoma Histopathology: Systematic Review.

ABSTRACT:

Background

Artificial intelligence (AI) shows considerable promise in the areas of lymphoma diagnosis, prognosis, and gene prediction. However, a comprehensive assessment of potential biases and the clinical utility of AI models is still needed.

Objective

Our goal was to evaluate the biases of published studies using AI models for lymphoma histopathology and assess the clinical utility of comprehensive AI models for diagnosis or prognosis.

Methods

This study adhered to the Systematic Review Reporting Standards. A comprehensive literature search was conducted across PubMed, Cochrane Library, and Web of Science from their inception until August 30, 2024. The search criteria included the use of AI for prognosis involving human lymphoma tissue pathology images, diagnosis,

SUBMITTER: Fu Y 

PROVIDER: S-EPMC11888075 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature