AIMC Topic: Natural Language Processing
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Developing and testing a framework for coding general practitioners' free-text diagnoses in electronic medical records - a reliability study for generating training data in natural language processing.
BMC primary care
Jul 16, 2024
BACKGROUND: Diagnoses entered by general practitioners into electronic medical records have great potential for research and practice, but unfortunately, diagnoses are often in uncoded format, making them of little use. Natural language processing (N...
Identifying symptom etiologies using syntactic patterns and large language models.
Scientific reports
Jul 13, 2024
Differential diagnosis is a crucial aspect of medical practice, as it guides clinicians to accurate diagnoses and effective treatment plans. Traditional resources, such as medical books and services like UpToDate, are constrained by manual curation, ...
Optimizing word embeddings for small dataset: a case study on patient portal messages from breast cancer patients.
Scientific reports
Jul 12, 2024
Patient portal messages often relate to specific clinical phenomena (e.g., patients undergoing treatment for breast cancer) and, as a result, have received increasing attention in biomedical research. These messages require natural language processin...
Beyond algorithms: The human touch machine-generated titles for enhancing click-through rates on social media.
PloS one
Jul 12, 2024
Artificial intelligence (AI) has the potential to revolutionize various domains by automating language-driven tasks. This study evaluates the effectiveness of an AI-assisted methodology, called the "POP Title AI Five-Step Optimization Method," in opt...
Assessing domain adaptation in adverse drug event extraction on real-world breast cancer records.
International journal of medical informatics
Jul 9, 2024
BACKGROUND: Adverse Drug Events (ADE) are key information present in unstructured portions of Electronic Health Records. These pose a significant challenge in healthcare, ranging from mild discomfort to severe complications, and can impact patient sa...
Mining core information by evaluating semantic importance for unpaired image captioning.
Neural networks : the official journal of the International Neural Network Society
Jul 9, 2024
Recently, exciting progress has been made in the research of supervised image captioning. However, manually annotated image-annotation pair data is difficult and expensive to obtain. Therefore, unpaired image captioning becomes an emerging challenge....
From vision to text: A comprehensive review of natural image captioning in medical diagnosis and radiology report generation.
Medical image analysis
Jul 8, 2024
Natural Image Captioning (NIC) is an interdisciplinary research area that lies within the intersection of Computer Vision (CV) and Natural Language Processing (NLP). Several works have been presented on the subject, ranging from the early template-ba...
Evolution of Drug Development and Regulatory Affairs: The Demonstrated Power of Artificial Intelligence.
Clinical therapeutics
Jul 8, 2024
PURPOSE: Artificial intelligence (AI) refers to technology capable of mimicking human cognitive functions and has important applications across all sectors and industries, including drug development. This has considerable implications for the regulat...
Prediction of intra-abdominal injury using natural language processing of electronic medical record data.
Surgery
Jul 6, 2024
BACKGROUND: This study aimed to use natural language processing to predict the presence of intra-abdominal injury using unstructured data from electronic medical records.
Clinical efficacy of pre-trained large language models through the lens of aphasia.
Scientific reports
Jul 6, 2024
The rapid development of large language models (LLMs) motivates us to explore how such state-of-the-art natural language processing systems can inform aphasia research. What kind of language indices can we derive from a pre-trained LLM? How do they d...
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