AI-Powered histopathology slide image interpretation in oncology: A comprehensive knowledge mapping and bibliometric analysis

AI histopathology is advancing toward clinical-grade deployment, propelled by collaboration and methodological innovation, yet limited by data standards, explainability, and regulatory requirements.

Authors

Institutions

Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251393286
Citations
3
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
7.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Powered histopathology slide image interpretation in oncology: A comprehensive knowledge mapping and bibliometric analysis

Moutaz W. Sweileh
3 citations
Digital Health
AI in cancer detection
7.44
article

AI-Powered histopathology slide image interpretation in oncology: A comprehensive knowledge mapping and bibliometric analysis

Moutaz W. Sweileh
article en
3 citations

Abstract

AI histopathology is advancing toward clinical-grade deployment, propelled by collaboration and methodological innovation, yet limited by data standards, explainability, and regulatory requirements.

Digital HealthVol. 11
An-Najah National University (PS), National University Hospital (SG)
Openalex Percentile: Top 3%
AI in cancer detection
7.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-Powered histopathology slide image interpretation in oncology: A comprehensive knowledge mapping and bibliometric analysis — Moutaz W. Sweileh · Digital Health (2025) | TGRS Research Map | TGRS