AIMC Topic: Natural Language Processing

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ChatGPT: Can a Natural Language Processing Tool Be Trusted for Radiation Oncology Use?

International journal of radiation oncology, biology, physics Apr 8, 2023
Radiation Oncology Humans Natural Language Processing
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Transformers, codes and labels: large language modelling for natural language processing in clinical radiology.

European radiology Apr 4, 2023
Humans Algorithms Radiology Research Report Language Natural Language Processing
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Deep learning-based detection of patients with bone metastasis from Japanese radiology reports.

Japanese journal of radiology Mar 29, 2023
PURPOSE: Deep learning (DL) is a state-of-the-art technique for developing artificial intelligence in various domains and it improves the performance of natural language processing (NLP). Therefore, we aimed to develop a DL-based NLP model that class...
Radiology Artificial Intelligence East Asian People Deep Learning Humans Bone Neoplasms Natural Language Processing
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The use of artificial intelligence to detect students' sentiments and emotions in gross anatomy reflections.

Anatomical sciences education Mar 28, 2023
Students' reflective writings in gross anatomy provide a rich source of complex emotions experienced by learners. However, qualitative approaches to evaluating student writings are resource heavy and timely. To overcome this, natural language process...
Artificial Intelligence Writing Humans Adult Students, Medical Female Young Adult Dissection Anatomy Emotions Natural Language Processing Male
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Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans.

Scientific reports Mar 28, 2023
Modern large language models generate texts that are virtually indistinguishable from those written by humans and achieve near-human performance in comprehension and reasoning tests. Yet, their complexity makes it difficult to explain and predict the...
Humans Word Association Tests Natural Language Processing Comprehension Semantics
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An End-to-End Natural Language Processing System for Automatically Extracting Radiation Therapy Events From Clinical Texts.

International journal of radiation oncology, biology, physics Mar 27, 2023
PURPOSE: Real-world evidence for radiation therapy (RT) is limited because it is often documented only in the clinical narrative. We developed a natural language processing system for automated extraction of detailed RT events from text to support cl...
Electronic Health Records Neoplasms Natural Language Processing Humans
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Natural language processing techniques for studying language in pathological ageing: A scoping review.

International journal of language & communication disorders Mar 24, 2023
BACKGROUND: In the past few years there has been a growing interest in the employment of verbal productions as digital biomarkers, namely objective, quantifiable behavioural data that can be collected and measured by means of digital devices, allowin...
Dysarthria Natural Language Processing Biomarkers Aging Humans Aged Dementia
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Bat4RCT: A suite of benchmark data and baseline methods for text classification of randomized controlled trials.

PloS one Mar 24, 2023
Randomized controlled trials (RCTs) play a major role in aiding biomedical research and practices. To inform this research, the demand for highly accurate retrieval of scientific articles on RCT research has grown in recent decades. However, correctl...
Natural Language Processing Machine Learning MEDLINE Language Randomized Controlled Trials as Topic
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Automated assembly of molecular mechanisms at scale from text mining and curated databases.

Molecular systems biology Mar 20, 2023
The analysis of omic data depends on machine-readable information about protein interactions, modifications, and activities as found in protein interaction networks, databases of post-translational modifications, and curated models of gene and protei...
Databases, Factual Reproducibility of Results Natural Language Processing Data Mining Humans
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Drivers of the decrease of patent similarities from 1976 to 2021.

PloS one Mar 20, 2023
The citation network of patents citing prior art arises from the legal obligation of patent applicants to properly disclose their invention. One way to study the relationship between current patents and their antecedents is by analyzing the similarit...
Natural Language Processing Inventions
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