Navigating the AI Landscape in Healthcare and Public Health

Faculty of Dentistry, Manila, Centro Escolar University, Philippines

*Corresponding author: Dr. Omid Panahi, Faculty of Dentistry, Manila, Centro Escolar University, Manila, Philippines, Phone: 00905373263513, Email: [email protected]

Received Date: March 01, 2025

Published Date: March 28, 2025

Citation: Panahi O. (2025). Navigating the AI Landscape in Healthcare and Public Health. Mathews J Nurs. 7(1):56.

Copyrights: Panahi O. © (2025).

ABSTRACT

Artificial intelligence (AI) is rapidly transforming the healthcare and public health landscape, offering unprecedented opportunities for improved diagnostics, personalized treatment, and population-level health management. This abstract explores the multifaceted impact of AI, encompassing machine learning algorithms for disease prediction and detection, natural language processing for clinical documentation and patient communication, and deep learning for medical image analysis. However, the integration of AI also presents significant challenges, including ethical considerations surrounding data privacy and algorithmic bias, the need for robust validation and regulatory frameworks, and the importance of ensuring equitable access to AI-driven healthcare solutions. By addressing these challenges, stakeholders can harness the transformative potential of AI to enhance patient outcomes, optimize resource allocation, and strengthen public health infrastructure.

Keywords: Artificial Intelligence, Healthcare, Public Health, Machine Learning, Deep Learning, Ethics, Data Privacy, Algorithmic Bias, Diagnostics, Personalized Medicine, Population Health.