ESPEYB25 14. The Year in Science and Medicine Artificial Intelligence (4 abstracts)
Front Endocrinol (Lausanne). 2025;16:1513929. doi: 10.3389/fendo.2025.1513929
Brief Summary: This opinion paper outlines how artificial intelligence (AI) is poised to revolutionize clinical endocrinology by enhancing risk assessment, diagnosis, personalized treatment, and remote patient monitoring. It provides an overview of the potential and future direction of AI in the domain of clinical endocrinology and diabetes.
The author presents a curated overview of recent studies showcasing the effectiveness of AI in various areas of endocrinology, including diabetes prediction, thyroid nodule assessment, metformin response optimization, and gestational diabetes management. While highlighting AIs transformative potential, the article also thoughtfully addresses the ethical, technical, and implementation challenges that must be overcome for successful clinical integration.
Emphasizing AIs role in advancing precision medicine and enhancing healthcare efficiency, the piece encourages clinicians to actively engage with emerging AI tools to improve patient outcomes and streamline care delivery.
Although the article is an opinion piece and does not offer a systematic review or original empirical data, its call to action for the endocrinology community to prepare for AI adoption is timely and well-founded.