Evidence record 9481 · automatically gathered

Generative AI in healthcare: an implementation science informed translational path on application, integration and governance

BACKGROUND: Artificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in healthcare, with the potential to revolutionize clinical decision-making and improve health outcomes. Generative AI, capable of generating new data such as text and images, holds promise in enhancing patient care, revolutionizing disease diagnosis and expanding treatment options. However, the utility and impact of generative AI in healthcare remain poorly understood, with concerns around

Record details

Published: 15 March 2024
Source: OpenAlex
Category: Research
Topics: Regulation · Healthcare
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

How to cite this record

ethics.ai (15 March 2024), “Generative AI in healthcare: an implementation science informed translational path on application, integration and governance,” evidence record 9481, https://ethics.ai/record/9481 (originally published by OpenAlex).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.