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British Journal of Radiology
Scopus
ISSN 0007-1285 · Wiley · 4 artikel di indeks
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Artikel Jurnal Teks lengkap
AI pitfalls and what not to do: mitigating bias in AI
Various forms of artificial intelligence (AI) applications are being deployed and used in many healthcare systems. As the use of these applications increases, we are learning the failures of these models and how they can perpetuate bias. With these new lessons, we need to prioritize bias evaluation…
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Artikel Jurnal Teks lengkap
Data drift in medical machine learning: implications and potential remedies
Data drift refers to differences between the data used in training a machine learning (ML) model and that applied to the model in real-world operation. Medical ML systems can be exposed to various forms of data drift, including differences between the data sampled for training and used in clinical…
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Artikel Jurnal
Understanding breast cancer as a global health concern
Breast cancer is now the most commonly diagnosed cancer in the world. The most recent global cancer burden figures estimate that there were 2.26 million incident breast cancer cases in 2020 and the disease is the leading cause of cancer mortality in women worldwide. The incidence is strongly…
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Artikel Jurnal Teks lengkap
Radiomics: from qualitative to quantitative imaging
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is difficult to quantify what can be seen in an image, and to turn it into valuable predictive outcomes. As a result of advances in both computational hardware and machine learning algorithms, computers are…