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Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis
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J Med Internet Res 2024;26:e55920
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The resulting news articles move on to the next stage of information extraction, which aims to summarize relevant articles. An extractive summarization model summarizes each article into 3 sentences. Corresponding summaries are then analyzed by human experts to produce reports.
Deep Covid model architecture overview (read from bottom to top), with colored blocks corresponding to machine learning models and gold arrows indicating actions necessitated from human experts.
JMIR AI 2024;3:e55059
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The same information can be expressed in many different ways, making the task of algorithmic extraction and standardization for computational semantic interpretation very challenging. Concurrently, however, as much as 80% of clinically relevant information has been found to only be accessible in unstructured form [1].
JMIR Med Inform 2024;12:e49997
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Among Japanese NLP studies that focused on medical issues, the study by Imai et al [4] developed a system that performs extraction and P-N classification of malignant findings from radiological reports such as computed tomography reports and magnetic resonance imaging reports; Ma et al [5] built a system that performs extraction and P-N classification of abnormal findings from discharge summaries, progress notes, and nursery notes; and Aramaki et al [6] developed a system that performs extraction and P-N classification
JMIR Form Res 2024;8:e55798
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In this work, we present a comprehensive empirical evaluation study on prompt engineering for 5 diverse clinical NLP tasks, namely, clinical sense disambiguation, biomedical evidence extraction, coreference resolution, medication status extraction, and medication attribute extraction [11,12].
JMIR Med Inform 2024;12:e55318
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Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study
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J Med Internet Res 2024;26:e48996
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However, these studies faced a common barrier to using nursing notes: the extraction of standardized information. Accordingly, there is a significant need for health care providers to standardize nursing assessments and free-text notes [30].
We showed that the nursing narratives “confirmed by a doctor,” “injected intravenous PCA,” and “injected intravenous fluids” were relevant to a prolonged stay for patients with surgical procedures.
JMIR Med Inform 2023;11:e45377
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These models have been successfully applied to various healthcare-related tasks, including biomedical literature mining [19], clinical concept extraction [20] (added [21]), and predicting patient outcomes [original: Nye et al. 2018] (new [22]).
JMIR Med Inform 2023;11:e48933
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