Skip to content
Log in
Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

V. Veeraraghavan

h-index 36 View on Semantic Scholar

We have 7 of 398 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Artificial Intelligence-Driven Models in Dental Trauma Management: Risk Prediction and Prognostic Evaluation of Treatment Outcomes

Background and Aim: Artificial intelligence (AI) offers a promising approach for stratifying risk and forecasting outcomes. This study evaluated the efficacy of an AI-based system in predicting dental trauma risk and assessing the long-term prognosis of traumatized teeth. Materials and Methods: A prospective observatio...

V. Veeraraghavan, N. J, R. Manyam et al. · 0 citations
Open access Sep 2026

Reduced graphene oxide-incorporated gelatin-oxidized polymannose scaffold-based 3D Lung cancer model for mimicking the tumor microenvironment

Objective The tumor microenvironment (TME) plays a critical role in regulating cancer progression, metastasis, and therapeutic response. Conventional two-dimensional (2D) culture systems fail to accurately recapitulate the complex native TME, highlighting the need for physiologically relevant three-dimensional (3D) in...

H. P. Manivannan, V. Veeraraghavan, K. Ameya et al. · 0 citations
Conference Aug 2026

Multi-Robot Exploration and Line Coverage in Unknown Environments

This paper studies online multi-robot exploration and line coverage in unknown environments, where robots must explore the environment and service features without prior topology knowledge. The main challenge is that the feature graph is revealed incrementally, causing routing structure and workload allocation to updat...

Tian-Yuan Zheng, V. Veeraraghavan, Jin-Gang Yi et al. · 0 citations
Review Aug 2026

Age Estimation in Forensic Dentistry Using Artificial Intelligence: An Umbrella Review

Artificial intelligence-driven dental age estimation models—specifically deep CNN frameworks—exhibit high precision and clinical reproducibility for forensic applications, however, current conclusions are limited by the low methodological quality of the underlying systematic reviews.

A. Supriya, V. Veeraraghavan, S. S et al. · 0 citations
Open access Jul 2026

Integrated proteomic profiling and in silico miRNA and lncRNA analysis of glucose-capped fisetin silver nanoparticle-mediated cell proliferation arrest in breast cancer

GF-Ag NPs can modulate the expression of key genes and signalling pathways involved in breast cancer progression and apoptosis, suggesting that GF-Ag NPs can modulate the expression of key genes and signalling pathways involved in breast cancer progression.

K. Subhalakshmi, V. Veeraraghavan, A. Sivagnanam et al. · 0 citations
Open access Jul 2026

Predictive Analysis for Success and Complications in Dental Implant Therapy using Artificial Intelligence Models

AI-based modeling offers a robust, data-driven approach for predicting dental implant success by integrating multifactorial clinical parameters and incorporating such models into clinical workflows can enhance patient-specific risk assessment and improve long-term implant outcomes.

V. Veeraraghavan, A. Jebin A, Isha Dusane et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.