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Similarity matching of medical question based on Siamese network
BackgroundWith the rapid development of the medical industry and the gradual increase in people’s awareness of their health, the use of the Internet...
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Evaluating semantic similarity methods for comparison of text-derived phenotype profiles
BackgroundSemantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, they...
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Effect of interaural electrode insertion depth difference and independent band selection on sentence recognition in noise and spatial release from masking in simulated bilateral cochlear implant listening
PurposeInter-aural insertion depth difference (IEDD) in bilateral cochlear implant (BiCI) with continuous interleaved sampling (CIS) processing is...
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Comparative Analysis of ChatGPT and Google Gemini in the Creation of Patient Education Materials for Acute Appendicitis, Cholecystitis, and Hydrocele
Patient education is essential for managing conditions like acute appendicitis, cholecystitis, and hydrocele, as it empowers patients to seek timely...
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Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
BackgroundCapturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of...
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Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports
ObjectiveRadiology reporting is an essential component of clinical diagnosis and decision-making. With the advent of advanced artificial intelligence...
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Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity
BackgroundSemantic textual similarity (STS) is a fundamental natural language processing (NLP) task which can be widely used in many NLP applications...
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Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records
BackgroundExtracting research of domain criteria (RDoC) from high-risk populations like those with post-traumatic stress disorder (PTSD) is crucial...
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Keyword-augmented and semi-automatic generation of FESS reports: a proof-of-concept study
IntroductionSurgical reports are usually written after a procedure and must often be reproduced from memory. Thus, this is an error-prone, and...
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Validation of a computerized version of the MNREAD chart for children
PurposeWe aimed the develop and validate a computerized version of the MNREAD for the assessment of reading speed for children.
Methods ...
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A large language model for electronic health records
There is an increasing interest in develo** artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural...
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Effects of Training Body-Related Interpretations on Panic-Related Cognitions and Symptoms
BackgroundInterpretation biases (IBs) are central in panic disorder, and there is rich evidence showing that these are correlated with and predictive...
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Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
BackgroundData mining of electronic health records (EHRs) has a huge potential for improving clinical decision support and to help healthcare deliver...
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Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework
Large language models (LLMs) can potentially transform healthcare, particularly in providing the right information to the right provider at the right...
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The Utility of AI in Writing a Scientific Review Article on the Impacts of COVID-19 on Musculoskeletal Health
Purpose of ReviewThere were two primary purposes to our reviews. First, to provide an update to the scientific community about the impacts of...
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Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP)
Pre-Exposure Prophylaxis (PrEP) interventions are increasingly prevalent on social media. These data can be mined for insights about PrEP that may...
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Informing the development of an outcome set and banks of items to measure mobility among individuals with acquired brain injury using natural language processing
BackgroundThe sheer number of measures evaluating mobility and inconsistencies in terminology make it challenging to extract potential core domains...
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Integrative bioinformatics analysis to identify ferroptosis-related genes in non-obstructive azoospermia
PurposeThe objective of this study was to discern ferroptosis-related genes (FRGs) linked to non-obstructive azoospermia and investigate the...
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The Use of Artificial Intelligence in Writing Scientific Review Articles
Purpose of ReviewWith the recent explosion in the use of artificial intelligence (AI) and specifically ChatGPT, we sought to determine whether...
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Automatic generation of conclusions from neuroradiology MRI reports through natural language processing
PurposeThe conclusion section of a radiology report is crucial for summarizing the primary radiological findings in natural language and essential...
