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AI-Driven Thermal Image Analysis in Thermoplasmonics for Diagnosing Tissue Anomalies: Bridging Clinical Pharmacy and Nursing Care


Article Information

Title: AI-Driven Thermal Image Analysis in Thermoplasmonics for Diagnosing Tissue Anomalies: Bridging Clinical Pharmacy and Nursing Care

Authors: Sahithya Ravali Ravula, Dinesh Mavaluru, Jerlin Priya Lovelin Auguskani, Amutha Chellathurai

Journal: Journal of Neonatal Surgery

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30

Publisher: EL-MED-Pub Publishers

Country: Pakistan

Year: 2025

Volume: 14

Issue: 29S

Language: en

Keywords: Patient monitoring

Categories

Abstract

Artificial Intelligence and machine learning algorithms, paired with thermoplasmonics and thermal feedback, have newly transformed the detection and apply milt therapy when cells are territorial for human tissue abnormalities. AI-assisted thermal image analysis mechanism in clinical pharmacy and nursing care: A novel study that takes advantage of advanced algorithms, thermoplasmonics, can analyses tissue errors such as tumours, contagions, and irritation reactions with unmatched accuracy. The research also emphasizes the role of AI-generated insights in effective drug dosing tailored to individual patients and empowers nursing professionals with real-time information to streamline patient care processes, thereby helping clinical pharmacies. It also discusses ethical issues, implementation challenges, and possibilities for advancing the evolution of AI-enhanced thermoplasmonics in clinical care and nursing practice.


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