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

Keywords:

AI, Machine Learning, Thermal Imaging, Thermoplasmonics, Clinical Pharmacy, Nursing Care, Tissue Anomalies, Personalized Medicine, Patient Monitoring

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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Published

2025-05-31

How to Cite

1.
Ravula SR, Mavaluru D, Auguskani JPL, Chellathurai A. AI-Driven Thermal Image Analysis in Thermoplasmonics for Diagnosing Tissue Anomalies: Bridging Clinical Pharmacy and Nursing Care. J Neonatal Surg [Internet]. 2025May31 [cited 2025Oct.10];14(29S):490-9. Available from: https://jneonatalsurg.com/index.php/jns/article/view/6828

Issue

Vol. 14 No. 29S (2025): Journal of Neonatal Surgery

Section

Original Article

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