# Use First, Trust Later? Exploring How Health Care Providers View the Gaps Between AI’s Regulation and Its Implementation

## TL;DR

This paper explores how healthcare providers view the gap between AI regulation and its real-world use in healthcare.

## Contribution

It highlights the need for ongoing oversight and quality assurance during early AI adoption in healthcare.

## Key findings

- Regulatory focus on premarket approval limits AI's adaptiveness in healthcare.
- Healthcare providers need to manage AI quality assurance during early adoption.
- Ongoing oversight is crucial for AI implementation in real-world settings.

## Abstract

The regulatory focus on premarket approval, overlooking and limiting the life cycle, real-world adaptiveness potential of artificial intelligence in health care, requires ongoing oversight and quality assurance by health care providers–cum-deployers, especially during early adoption.