Skin cancer prediction using AI: A bibliometric analysis

Title

Skin cancer prediction using AI: A bibliometric analysis

Creator

Agrawal, Dev; Vidushi, Vidushi; Gupta, Varuna

Description

Skin cancer is a major public health concern globally, with early detection being crucial for successful treatment and management. Artificial intelligence (AI) has emerged as a promising tool for aiding in the early detection of skin cancer [15, 19, 23, 41]. This paper conducts a literature review and bibliometric analysis to explore the current landscape of AI-based skin cancer prediction. This bibliometric analysis systematically examines the landscape of research on skin cancer prediction using AI. The aim of the study is to identify the research trends, keyword contributors, influential authors, and research hotspots [13, 31]. Through this bibliometric analysis, this study offers insights into the evolution of AI-based approaches for skin cancer prediction. By producing and analyzing bibliometric data from relevant scholarly publications, this study provides a comprehensive overview of the current state of research in this domain, informing future directions for advancing skin cancer prediction using AI technologies. 2025 Author(s).

Source

AIP Conference Proceedings;Volume;3297;Issue;1;Article No.;286505;

Date

01-01-2025

Publisher

American Institute of Physics

Subject

Artificial Intelligence; Prediction; Skin cancer

Coverage

Agrawal D., Christ University, Karnataka, Bangalore, India; Vidushi V., Christ University, Karnataka, Bangalore, India; Gupta V., Christ University, Karnataka, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 0094243X;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1063/5.0286505

https://www.scopus.com/pages/publications/105022847120?origin=resultslist