Instruct: Identify the main category of Medrxiv papers based on the titles and abstracts
Query: Development of a Natural Language Processing Algorithm for the Classification of Suspicious Liver Lesions from Radiology Reports Here, we developed and validated a highly generalizable natural language processing algorithm based on deep-learning. Our algorithm was trained and tested on a highly diverse dataset from over 2,000 hospital sites and 500 radiologists. The resulting algorithm achieved an AUROC of 0.96 for the presence or absence of liver lesions while achieving a specificity of 0.99 and a sensitivity of 0.6.
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The categories of this paper are: epidemiology
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The categories of this paper are: emergency
25
The categories of this paper are: improvement
61
The categories of this paper are: dermatology
19
The categories of this paper are: public
71
The categories of this paper are: ethics
64
The categories of this paper are: ophthalmology
44
The categories of this paper are: endocrinology
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The categories of this paper are: pharmacology
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The categories of this paper are: therapeutics
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The categories of this paper are: gastroenterology
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The categories of this paper are: medicine
51
The categories of this paper are: education
72
The categories of this paper are: urology
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The categories of this paper are: geriatric
57
The categories of this paper are: primary