Work

Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications

Year: 2025

Type: review

Abstract: With rapidly evolving artificial intelligence solutions, healthcare organizations need an implementation roadmap. A "clinical trials" informed approach can promote safe and impactful implementation of artificial intelligence. This framework includes four phases: (1) Safety; (2) Efficacy; (3) Effectiveness and comparison to an existing standard; and (4) Monitoring. Combined with inter-institutional collaboration and national funding support, this approach will advance safe, usable, effective, and equitable deployments of artificial intelligence in healthcare.

Source: npj Digital Medicine

DOI: 10.1038/s41746-025-01506-4

Authors: Jacqueline G. You, Tina Hernandez-Boussard, Michael A. Pfeffer, Adam Landman, Rebecca G. Mishuris

Institutions: Harvard University, Mass General Brigham, Stanford Medicine, Stanford University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $4,090