Artificial intelligence (AI) is reshaping perioperative care, but its value depends on measurable improvements in outcomes and resource use. Dr Andreas Weinberger Rosen and Professor Ismail Gögenur describe how an AI-supported decision system for colorectal cancer surgery can reduce complications, improve quality of life and serve as a blueprint for teams adopting AI-supported precision medicine.
Artificial intelligence (AI) has broad potential to transform healthcare systems by automating tasks that require human cognition, such as supporting documentation,1 analysing biopsies2 and planning surgical resources.3 Its value, however, depends on whether this automation can translate into tangible benefits for patient outcomes or more effective use of resources.
For this reason, AI projects must be built around use cases with a clear and realistic path to value creation. In parallel, careful consideration is required of the legal, organisational and cultural constraints of the clinical setting in which the system will be implemented, as well as the availability and quality of data needed to support its development.