AIMC Topic: Natural Language Processing
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A survey on advancements in image-text multimodal models: From general techniques to biomedical implementations.
Computers in biology and medicine
Jun 6, 2024
With the significant advancements of Large Language Models (LLMs) in the field of Natural Language Processing (NLP), the development of image-text multimodal models has garnered widespread attention. Current surveys on image-text multimodal models ma...
Threatening language detection from Urdu data with deep sequential model.
PloS one
Jun 6, 2024
The Urdu language is spoken and written on different social media platforms like Twitter, WhatsApp, Facebook, and YouTube. However, due to the lack of Urdu Language Processing (ULP) libraries, it is quite challenging to identify threats from textual ...
Pre-trained language models in medicine: A survey.
Artificial intelligence in medicine
Jun 5, 2024
With the rapid progress in Natural Language Processing (NLP), Pre-trained Language Models (PLM) such as BERT, BioBERT, and ChatGPT have shown great potential in various medical NLP tasks. This paper surveys the cutting-edge achievements in applying P...
Transformers and large language models in healthcare: A review.
Artificial intelligence in medicine
Jun 5, 2024
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including healthcare, the adoption of the Transformers neural network architecture is rapidly changing many applications. Transformer is a type of deep learning arc...
Towards the automatic calculation of the EQUAL Candida Score: Extraction of CVC-related information from EMRs of critically ill patients with candidemia in Intensive Care Units.
Journal of biomedical informatics
Jun 5, 2024
OBJECTIVES: Candidemia is the most frequent invasive fungal disease and the fourth most frequent bloodstream infection in hospitalized patients. Its optimal management is crucial for improving patients' survival. The quality of candidemia management ...
Scaling neural machine translation to 200 languages.
Nature
Jun 5, 2024
The development of neural techniques has opened up new avenues for research in machine translation. Today, neural machine translation (NMT) systems can leverage highly multilingual capacities and even perform zero-shot translation, delivering promisi...
Oral anticoagulant treatment in atrial fibrillation: the AFIRMA real-world study using natural language processing and machine learning.
Revista clinica espanola
Jun 5, 2024
INTRODUCTION: Oral anticoagulation (OAC) is key in atrial fibrillation (AF) thromboprophylaxis, but Spain lacks substantial real-world evidence. We aimed to analyze the prevalence, clinical characteristics, and treatment patterns among patients with ...
Effect of Ambient Voice Technology, Natural Language Processing, and Artificial Intelligence on the Patient-Physician Relationship.
Applied clinical informatics
Jun 4, 2024
BACKGROUND: The method of documentation during a clinical encounter may affect the patient-physician relationship.
Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records.
BMC medical informatics and decision making
Jun 4, 2024
BACKGROUND: Extracting research of domain criteria (RDoC) from high-risk populations like those with post-traumatic stress disorder (PTSD) is crucial for positive mental health improvements and policy enhancements. The intricacies of collecting, inte...
A syntactic evidence network model for fact verification.
Neural networks : the official journal of the International Neural Network Society
Jun 1, 2024
In natural language processing, fact verification is a very challenging task, which requires retrieving multiple evidence sentences from a reliable corpus to verify the authenticity of a claim. Although most of the current deep learning methods use t...
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