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Artificial intelligence in head neck cancer full of potential BUT filled with landmines

2023·0 Zitationen·Oral Oncology ReportsOpen Access
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0

Zitationen

3

Autoren

2023

Jahr

Abstract

Oncology is at the forefront of advances in artificial intelligence (AI) in health care, providing a unique opportunity to investigate the early integration of these technologies in clinical research and patient care. Concerns about the impact of these technologies on health equity have accompanied hopes that AI will revolutionise healthcare delivery and improve clinical outcomes. The ability of AI to help address health disparities, its ability to mitigate or exacerbate bias, and its ability to help elucidate health determinants. There is a lack of discussion of ethical challenges associated with the application of AI technologies in low- and middle-income countries, a lack of discussion of problems with bias in AI algorithms, and a lack of justification for the use of AI. There has been substantial growth in radiomics and artificial intelligence however, clinical implementation has yet to be realized at scale.

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Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationRadiation Dose and Imaging
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