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Background: The intersection of Artificial Intelligence and Sustainable Development Goal (SDG) 3 presents both opportunities and challenges. AI has the potential to enhance healthcare delivery by improving diagnostic accuracy, enabling personalized treatment approaches, and facilitating remote healthcare services through telemedicine. AI-driven technologies can also streamline administrative tasks, optimize resource allocation, and support evidence-based decision-making in healthcare settings. Objective: This study seeks to identify challenges and opportunities for utilizing AI to advance global health objectives to support Sustainable Development Goal 3 Methodology: A review of existing literature was carried out to evaluate the current landscape of AI applications in healthcare and its potential implications for SDG achievement. We identified constraints such as data bias, ethical considerations, and accessibility barriers, and looked at the potential remedies and strategies for maximizing the positive impact of AI in healthcare. Conclusion: There exists significant hurdles into the integration of AI into healthcare however there are promising prospects for enhancing healthcare delivery, disease prevention, and drug discovery processes. By addressing issues such as data bias, ethical dilemmas, and accessibility challenges, AI holds the potential to revolutionize healthcare systems on a global scale. Embracing AI technologies can contribute significantly to realizing SDGs pertaining to health and well-being, thereby fostering more sustainable and equitable healthcare practices.
Nair et al. (Mon,) studied this question.
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