AIMC Topic: Natural Language Processing

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Machine learning/artificial intelligence in sports medicine: state of the art and future directions.

Journal of ISAKOS : joint disorders & orthopaedic sports medicine Feb 7, 2024
Machine learning (ML) is changing the way health care is practiced and recent applications of these novel statistical techniques have started to impact orthopaedic sports medicine. Machine learning enables the analysis of large volumes of data to est...
Machine Learning Sports Medicine Algorithms Deep Learning Natural Language Processing Neural Networks, Computer Artificial Intelligence Humans
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Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment.

BMC medical informatics and decision making Feb 7, 2024
BACKGROUND: Deep learning has demonstrated significant advancements across various domains. However, its implementation in specialized areas, such as medical settings, remains approached with caution. In these high-stake environments, understanding t...
Humans Natural Language Processing Problem Solving
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AI-Assisted Summarization of Radiologic Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical.

AJNR. American journal of neuroradiology Feb 7, 2024
BACKGROUND AND PURPOSE: The review of clinical reports is an essential part of monitoring disease progression. Synthesizing multiple imaging reports is also important for clinical decisions. It is critical to aggregate information quickly and accurat...
Aneurysm Natural Language Processing Neuroimaging Humans Machine Learning Disease Progression
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Bolstering Advance Care Planning Measurement Using Natural Language Processing.

Journal of palliative medicine Feb 6, 2024
Despite its growth as a clinical activity and research topic, the complex dynamic nature of advance care planning (ACP) has posed serious challenges for researchers hoping to quantitatively measure it. Methods for measurement have traditionally depen...
Advance Directives Quality Improvement Documentation Advance Care Planning Humans Electronic Health Records Natural Language Processing
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Extracting adverse drug events from clinical Notes: A systematic review of approaches used.

Journal of biomedical informatics Feb 6, 2024
BACKGROUND: An adverse drug event (ADE) is any unfavorable effect that occurs due to the use of a drug. Extracting ADEs from unstructured clinical notes is essential to biomedical text extraction research because it helps with pharmacovigilance and p...
Data Mining Humans Pharmacovigilance Machine Learning Drug-Related Side Effects and Adverse Reactions Deep Learning Natural Language Processing Databases, Factual Electronic Health Records
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SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization.

Journal of biomedical informatics Feb 5, 2024
Electronic health records (EHRs) store an extensive array of patient information, encompassing medical histories, diagnoses, treatments, and test outcomes. These records are crucial for enabling healthcare providers to make well-informed decisions re...
Humans Calibration Language Health Personnel Natural Language Processing Electronic Health Records
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MAEF-Net: MLP Attention for Feature Enhancement in U-Net based Medical Image Segmentation Networks.

IEEE journal of biomedical and health informatics Feb 5, 2024
Medical image segmentation plays an important role in diagnosis. Since the introduction of U-Net, numerous advancements have been implemented to enhance its performance and expand its applicability. The advent of Transformers in computer vision has l...
Humans Natural Language Processing Electric Power Supplies Neural Networks, Computer Image Processing, Computer-Assisted
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Natural language processing for electronic health records in anaesthesiology: an introduction to clinicians with recommendations and pitfalls.

Journal of clinical monitoring and computing Feb 4, 2024
Anesthesiology Humans Electronic Health Records Machine Learning Natural Language Processing Algorithms
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Large Language Models and Healthcare Alliance: Potential and Challenges of Two Representative Use Cases.

Annals of biomedical engineering Feb 3, 2024
Large language models (LLMS) emerge as the most promising Natural Language Processing approach for clinical practice acceleration (i.e., diagnosis, prevention and treatment procedures). Similarly, intelligent conversational systems that leverage LLMS...
Humans Depression, Postpartum Cognitive Dysfunction Natural Language Processing Female
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Advantages of transformer and its application for medical image segmentation: a survey.

Biomedical engineering online Feb 3, 2024
PURPOSE: Convolution operator-based neural networks have shown great success in medical image segmentation over the past decade. The U-shaped network with a codec structure is one of the most widely used models. Transformer, a technology used in natu...
Neural Networks, Computer Natural Language Processing Technology Image Processing, Computer-Assisted
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