AIMC Topic: Natural Language Processing
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A scoping review on multimodal deep learning in biomedical images and texts.
Journal of biomedical informatics
Aug 29, 2023
OBJECTIVE: Computer-assisted diagnostic and prognostic systems of the future should be capable of simultaneously processing multimodal data. Multimodal deep learning (MDL), which involves the integration of multiple sources of data, such as images an...
Annotated dataset creation through large language models for non-english medical NLP.
Journal of biomedical informatics
Aug 23, 2023
Obtaining text datasets with semantic annotations is an effortful process, yet crucial for supervised training in natural language processing (NLP). In general, developing and applying new NLP pipelines in domain-specific contexts for tasks often req...
Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges.
The Journal of arthroplasty
Aug 22, 2023
Total joint arthroplasty is becoming one of the most common surgeries within the United States, creating an abundance of analyzable data to improve patient experience and outcomes. Unfortunately, a large majority of this data is concealed in electron...
Improving chest X-ray report generation by leveraging warm starting.
Artificial intelligence in medicine
Aug 19, 2023
Automatically generating a report from a patient's Chest X-rays (CXRs) is a promising solution to reducing clinical workload and improving patient care. However, current CXR report generators-which are predominantly encoder-to-decoder models-lack the...
Retrospective comparison of traditional and artificial intelligence-based heart failure phenotyping in a US health system to enable real-world evidence.
BMJ open
Aug 9, 2023
OBJECTIVE: Quantitatively evaluate the quality of data underlying real-world evidence (RWE) in heart failure (HF).
Social Risk Factors are Associated with Risk for Hospitalization in Home Health Care: A Natural Language Processing Study.
Journal of the American Medical Directors Association
Aug 5, 2023
OBJECTIVE: This study aimed to develop a natural language processing (NLP) system that identified social risk factors in home health care (HHC) clinical notes and to examine the association between social risk factors and hospitalization or an emerge...
Investigating the impact of structured reporting on the linguistic standardization of radiology reports through natural language processing over a 10-year period.
European radiology
Aug 5, 2023
OBJECTIVES: To investigate how a transition from free text to structured reporting affects reporting language with regard to standardization and distinguishability.
Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities.
Journal of medical Internet research
Aug 4, 2023
Rapid development and adoption of natural language processing (NLP) techniques has led to a multitude of exciting and innovative societal and health care applications. These advancements have also generated concerns around perpetuation of historical ...
Role of ChatGPT-4 for Medical Researchers.
Annals of biomedical engineering
Aug 1, 2023
The robustness of artificial intelligence (AI) in medical research has gotten a lot of attention in the current era. In particular, ChatGPT-4 is emerging as a notable AI language model. Basically, ChatGPT-4 is a state-of-the-art language model that m...
Few-shot learning for medical text: A review of advances, trends, and opportunities.
Journal of biomedical informatics
Jul 23, 2023
BACKGROUND: Few-shot learning (FSL) is a class of machine learning methods that require small numbers of labeled instances for training. With many medical topics having limited annotated text-based data in practical settings, FSL-based natural langua...
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