Augmented intelligence: An emerging paradigm for AI in healthcare
Year: 2025
Type: article
Abstract: Artificial intelligence (AI) is rapidly transforming healthcare, providing tools that support diagnosis, streamline workflows and enhance patient outcomes. However, its adoption has been uneven—hindered by ethical, legal and operational concerns. We propose that augmented intelligence (AugI)—AI designed to enhance, rather than replace, human decision-making—is the most practical and ethically sound model for integrating AI into healthcare. Key challenges in AI adoption include responsibility gaps, stakeholder resistance and outdated expectations about how clinicians should work. AugI provides a middle ground: preserving human oversight while leveraging the power of machine learning. As AI becomes an indispensable part of modern medicine, healthcare systems must shift toward a paradigm that embraces AI as a collaborative partner.
Authors: William Ying Khee Hwang, Daniel Shu Wei Ting
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4415684174