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Review
. 2024 Dec 9:7:1400732.
doi: 10.3389/frai.2024.1400732. eCollection 2024.

Navigating the unseen peril: safeguarding medical imaging in the age of AI

Alexandra Maertens  1 , Steve Brykman  2 , Thomas Hartung  1   3 , Andrei Gafita  4 , Harrison Bai  4 , David Hoelzer  5 , Ed Skoudis  5 , Channing Judith Paller  6
Affiliations
Review

Navigating the unseen peril: safeguarding medical imaging in the age of AI

Alexandra Maertens et al. Front Artif Intell. .

Abstract

In response to the increasing significance of artificial intelligence (AI) in healthcare, there has been increased attention - including a Presidential executive order to create an AI Safety Institute - to the potential threats posed by AI. While much attention has been given to the conventional risks AI poses to cybersecurity, and critical infrastructure, here we provide an overview of some unique challenges of AI for the medical community. Above and beyond obvious concerns about vetting algorithms that impact patient care, there are additional subtle yet equally important things to consider: the potential harm AI poses to its own integrity and the broader medical information ecosystem. Recognizing the role of healthcare professionals as both consumers and contributors to AI training data, this article advocates for a proactive approach in understanding and shaping the data that underpins AI systems, emphasizing the need for informed engagement to maximize the benefits of AI while mitigating the risks.

Keywords: artificial intelligence; data bias; data quality; medical imaging; precision medicine.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

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