Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology

This study serves as a proof of concept for the application of AI in dermatology, highlighting its potential to enhance the patient journey for which we approximate the value of such interventions in healthcare using graph theory with an associated cost-optimization objective function.

Authors

Institutions

Publication Details

Journal
International Journal of Medical Informatics
Published
2025-03-27
DOI
https://doi.org/10.1016/j.ijmedinf.2025.105898
Citations
22
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
54.58

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology

George A. Tsihrintzis, Maria Virvou, Evridiki Tsoureli‐Nikita, Dimitrios P. Panagoulias
22 citations
International Journal of Medical Informatics
AI in cancer detection
54.58
article

Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology

George A. Tsihrintzis, Maria Virvou, Evridiki Tsoureli‐Nikita, Dimitrios P. Panagoulias
article en
22 citations

Abstract

This study serves as a proof of concept for the application of AI in dermatology, highlighting its potential to enhance the patient journey for which we approximate the value of such interventions in healthcare using graph theory with an associated cost-optimization objective function.

International Journal of Medical InformaticsVol. 199
University of Piraeus (GR), National and Kapodistrian University of Athens (GR)
University of Piraeus Research Centre
Quality Education
Openalex Percentile: Top 0%
AI in cancer detection
54.58
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.