<scp>MRI</scp> , Prostate cancer diagnosis, and Artificial Intelligence; What are the implications?

MRI, Prostate cancer diagnosis, and ArtificialIntelligence; What are the implications?For many years now it has been suggested that artificial intelligence (AI) will come to have a significant role in healthcare delivery, although to date, the actual practical applications that are in everyday use have been limited in number.While the numbers of potential applications is increasing rapidly, the introduction of AI systems into healthcare is accompanied by a number concerns including issues of transparency, explainability, governance, bias, cybersecurity and quality assurance.One area where AI has been thought to have significant potential is in the domain of image analysis, with potential applications in dermatology, histopathology and in radiology undergoing investigation.In recent months there have been two publications that provide evidence suggesting that AI has potential value in the interpretation of MRI scans in patients with suspected prostate cancer.These papers are not conclusive in themselves, but perhaps represent a step along the route to the widespread adoption of such systems into the diagnostic pathway.However, they also act as a practical example for articulating some of the general dilemmas that relate to the use of AI in healthcare.

Publication Details

Journal
British Journal of Urology
Published
2024-10-24
DOI
https://doi.org/10.1111/bju.16540
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

MRI , Prostate cancer diagnosis, and Artificial Intelligence; What are the implications?

British Journal of Urology
Radiomics and Machine Learning in Medical Imaging
article

MRI , Prostate cancer diagnosis, and Artificial Intelligence; What are the implications?

article en

Abstract

MRI, Prostate cancer diagnosis, and ArtificialIntelligence; What are the implications?For many years now it has been suggested that artificial intelligence (AI) will come to have a significant role in healthcare delivery, although to date, the actual practical applications that are in everyday use have been limited in number.While the numbers of potential applications is increasing rapidly, the introduction of AI systems into healthcare is accompanied by a number concerns including issues of transparency, explainability, governance, bias, cybersecurity and quality assurance.One area where AI has been thought to have significant potential is in the domain of image analysis, with potential applications in dermatology, histopathology and in radiology undergoing investigation.In recent months there have been two publications that provide evidence suggesting that AI has potential value in the interpretation of MRI scans in patients with suspected prostate cancer.These papers are not conclusive in themselves, but perhaps represent a step along the route to the widespread adoption of such systems into the diagnostic pathway.However, they also act as a practical example for articulating some of the general dilemmas that relate to the use of AI in healthcare.

British Journal of UrologyVol. 134(5)
Openalex Percentile: Top 69%
Radiomics and Machine Learning in Medical Imaging
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<scp>MRI</scp> , Prostate cancer diagnosis, and Artificial Intelligence; What are the implications? · British Journal of Urology (2024) | TGRS Research Map | TGRS