Obesity Management and Artificial Intelligence: A Narrative Review

Abstract

This study aimed to investigates the revolutionary integration of AI and obesity management. The study of the efficacy of AI-driven interventions for obesity management, promising outcomes were seen during the early stages of weight management. However, there is a need for a thorough longitudinal research to determine long-term implications, as well as the building of strong ethical frameworks addressing privacy, security, and fairness in algorithmic decision-making.

Addressing challenges of accessibility and equity, our work pushes for policies that provide inclusive access to AI-driven treatments, particularly in underprivileged populations. AI incorporation into clinical practice requires joint initiatives, including extensive training programs for healthcare providers. Patient-centered approaches that balance technological guidance with individual autonomy emerge as critical for continued engagement.

Economic concerns emphasize the need of examining cost-effectiveness and sustainability in order to guide future scalability decisions. Looking ahead, our research identifies significant topics for future research, with an emphasis on AI algorithm development, creative application exploration, and collaboration with emerging technologies. As evidence-based academics, our work adds to the continuing conversation and collaborative efforts aimed at realizing the full potential of AI and telemedicine for global health improvement.