Anatomical Recognition Performance of Large Language Models on Digital Subtraction Angiography Images: A Brief Assessment

This is a Letter to the Editor. An abstract is not required according to the journal guidelines; therefore, this brief note is provided solely for system requirements.

Authors

Institutions

Publication Details

Journal
Medical Records
Published
2026-03-05
DOI
https://doi.org/10.37990/medr.1739579
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anatomical Recognition Performance of Large Language Models on Digital Subtraction Angiography Images: A Brief Assessment

Ali Şalbaş
Medical Records
Retinal Imaging and Analysis
article

Anatomical Recognition Performance of Large Language Models on Digital Subtraction Angiography Images: A Brief Assessment

Ali Şalbaş
article en

Abstract

This is a Letter to the Editor. An abstract is not required according to the journal guidelines; therefore, this brief note is provided solely for system requirements.

Medical Records(1)
Izmir Kâtip Çelebi University (TR)
Openalex Percentile: Top 34%
Retinal Imaging and Analysis
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.