This article, curated by Mahesh Choolani, Deputy Editor of the Singapore Medical Journal, highlights the advancements and challenges of Artificial Intelligence (AI) in medicine. The issue emphasizes the clinical utility and potential pitfalls of AI, particularly in areas such as image analysis, emergency medicine, and digital health solutions. Key studies and commentaries explore the ethical and social implications of AI, including privacy, autonomy, and health equity. The inaugural International Conference on AI in Medicine, organized by Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University (NTU), Singapore, discussed the future of AI in healthcare, focusing on enhanced patient experience, improved outcomes, and reduced costs. The rapid integration of AI into medical education and residency training is also addressed, with a call for cautious and evidence-based approaches to ensure patient safety and maintain professional autonomy. The article concludes by emphasizing the importance of collaboration and adaptation to effectively navigate the evolving landscape of AI in medicine.This article, curated by Mahesh Choolani, Deputy Editor of the Singapore Medical Journal, highlights the advancements and challenges of Artificial Intelligence (AI) in medicine. The issue emphasizes the clinical utility and potential pitfalls of AI, particularly in areas such as image analysis, emergency medicine, and digital health solutions. Key studies and commentaries explore the ethical and social implications of AI, including privacy, autonomy, and health equity. The inaugural International Conference on AI in Medicine, organized by Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University (NTU), Singapore, discussed the future of AI in healthcare, focusing on enhanced patient experience, improved outcomes, and reduced costs. The rapid integration of AI into medical education and residency training is also addressed, with a call for cautious and evidence-based approaches to ensure patient safety and maintain professional autonomy. The article concludes by emphasizing the importance of collaboration and adaptation to effectively navigate the evolving landscape of AI in medicine.