How to critically appraise and direct the trajectory of AI development and application in oncology

As artificial intelligence (AI) advances, oncologists stand at the forefront of a transformative era in healthcare. AI, which empowers machines to learn from data, make decisions, and carry out tasks typically requiring human intelligence, is revolutionizing our clinical landscape. It promises streamlined workflows, enhanced diagnostic accuracy, and personalized treatments tailored to each patient's unique profile. In the vast sea of patient data, AI serves as a guiding compass, ensuring no detail is overlooked, amplifying clinical acumen, and refining treatment decisions. However, to ensure AI's benefits reach patients effectively, it is imperative that oncologists actively guide its development and application. This overview aims to equip oncologists with the tools to critically appraise and influence the trajectory of AI in oncology, ensuring its integration leads to meaningful advances in patient care.

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Publication Details

Journal
ESMO Real World Data and Digital Oncology
Published
2024-08-29
DOI
https://doi.org/10.1016/j.esmorw.2024.100066
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.24
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article

How to critically appraise and direct the trajectory of AI development and application in oncology

Rudolf S.N. Fehrmann, Michel van Kruchten, Elisabeth G.E. de Vries
2 citations
ESMO Real World Data and Digital Oncology
Artificial Intelligence in Healthcare and Education
0.24
article

How to critically appraise and direct the trajectory of AI development and application in oncology

Rudolf S.N. Fehrmann, Michel van Kruchten, Elisabeth G.E. de Vries
article en
2 citations

Abstract

As artificial intelligence (AI) advances, oncologists stand at the forefront of a transformative era in healthcare. AI, which empowers machines to learn from data, make decisions, and carry out tasks typically requiring human intelligence, is revolutionizing our clinical landscape. It promises streamlined workflows, enhanced diagnostic accuracy, and personalized treatments tailored to each patient's unique profile. In the vast sea of patient data, AI serves as a guiding compass, ensuring no detail is overlooked, amplifying clinical acumen, and refining treatment decisions. However, to ensure AI's benefits reach patients effectively, it is imperative that oncologists actively guide its development and application. This overview aims to equip oncologists with the tools to critically appraise and influence the trajectory of AI in oncology, ensuring its integration leads to meaningful advances in patient care.

ESMO Real World Data and Digital OncologyVol. 5
University Medical Center Groningen (NL), University of Groningen (NL)
Openalex Percentile: Top 41%
Artificial Intelligence in Healthcare and Education
0.24
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How to critically appraise and direct the trajectory of AI development and application in oncology — Rudolf S.N. Fehrmann, Michel van Kruchten, et al. · ESMO Real World Data and Digital Oncology (2024) | TGRS Research Map | TGRS