Navigating the unseen peril: safeguarding medical imaging in the age of AI
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 ris...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Artificial Intelligence |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2024.1400732/full |
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| _version_ | 1846130666900553728 |
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| author | Alexandra Maertens Steve Brykman Thomas Hartung Thomas Hartung Andrei Gafita Harrison Bai David Hoelzer Ed Skoudis Channing Judith Paller |
| author_facet | Alexandra Maertens Steve Brykman Thomas Hartung Thomas Hartung Andrei Gafita Harrison Bai David Hoelzer Ed Skoudis Channing Judith Paller |
| author_sort | Alexandra Maertens |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-35d128d27e184a9f95947b25b5ca33c8 |
| institution | Kabale University |
| issn | 2624-8212 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj-art-35d128d27e184a9f95947b25b5ca33c82024-12-09T16:13:30ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122024-12-01710.3389/frai.2024.14007321400732Navigating the unseen peril: safeguarding medical imaging in the age of AIAlexandra Maertens0Steve Brykman1Thomas Hartung2Thomas Hartung3Andrei Gafita4Harrison Bai5David Hoelzer6Ed Skoudis7Channing Judith Paller8Center for Alternatives to Animal Testing (CAAT), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesIndependent Creative Technologist, Boston, MA, United StatesCenter for Alternatives to Animal Testing (CAAT), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United StatesCAAT Europe, University of Konstanz, Konstanz, GermanyRadiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United StatesRadiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United StatesSANS Technology Institute, Rockville, MD, United StatesSANS Technology Institute, Rockville, MD, United StatesDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, United StatesIn 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.https://www.frontiersin.org/articles/10.3389/frai.2024.1400732/fullmedical imagingartificial intelligencedata qualityprecision medicinedata bias |
| spellingShingle | Alexandra Maertens Steve Brykman Thomas Hartung Thomas Hartung Andrei Gafita Harrison Bai David Hoelzer Ed Skoudis Channing Judith Paller Navigating the unseen peril: safeguarding medical imaging in the age of AI Frontiers in Artificial Intelligence medical imaging artificial intelligence data quality precision medicine data bias |
| title | Navigating the unseen peril: safeguarding medical imaging in the age of AI |
| title_full | Navigating the unseen peril: safeguarding medical imaging in the age of AI |
| title_fullStr | Navigating the unseen peril: safeguarding medical imaging in the age of AI |
| title_full_unstemmed | Navigating the unseen peril: safeguarding medical imaging in the age of AI |
| title_short | Navigating the unseen peril: safeguarding medical imaging in the age of AI |
| title_sort | navigating the unseen peril safeguarding medical imaging in the age of ai |
| topic | medical imaging artificial intelligence data quality precision medicine data bias |
| url | https://www.frontiersin.org/articles/10.3389/frai.2024.1400732/full |
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