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Chatgpt and open-ai models: A preliminary review
KI Roumeliotis, ND Tselikas - Future Internet, 2023 - mdpi.com
According to numerous reports, ChatGPT represents a significant breakthrough in the field of
artificial intelligence. ChatGPT is a pre-trained AI model designed to engage in natural …
artificial intelligence. ChatGPT is a pre-trained AI model designed to engage in natural …
[HTML][HTML] AMMU: a survey of transformer-based biomedical pretrained language models
KS Kalyan, A Rajasekharan, S Sangeetha - Journal of biomedical …, 2022 - Elsevier
Transformer-based pretrained language models (PLMs) have started a new era in modern
natural language processing (NLP). These models combine the power of transformers …
natural language processing (NLP). These models combine the power of transformers …
[HTML][HTML] Pre-trained language models with domain knowledge for biomedical extractive summarization
Q **e, JA Bishop, P Tiwari, S Ananiadou - Knowledge-Based Systems, 2022 - Elsevier
Biomedical text summarization is a critical task for comprehension of an ever-growing
amount of biomedical literature. Pre-trained language models (PLMs) with transformer …
amount of biomedical literature. Pre-trained language models (PLMs) with transformer …
AI-based language models powering drug discovery and development
Z Liu, RA Roberts, M Lal-Nag, X Chen, R Huang… - Drug Discovery …, 2021 - Elsevier
The discovery and development of new medicines is expensive, time-consuming, and often
inefficient, with many failures along the way. Powered by artificial intelligence (AI), language …
inefficient, with many failures along the way. Powered by artificial intelligence (AI), language …
Innovations in research and clinical care using patient‐generated health data
HSL Jim, AI Hoogland, NC Brownstein… - CA: a cancer journal …, 2020 - Wiley Online Library
Patient‐generated health data (PGHD), or health‐related data gathered from patients to help
address a health concern, are used increasingly in oncology to make regulatory decisions …
address a health concern, are used increasingly in oncology to make regulatory decisions …
Pre-trained language models in medicine: A survey
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 …
Models (PLM) such as BERT, BioBERT, and ChatGPT have shown great potential in various …
[HTML][HTML] Social media toxicity classification using deep learning: real-world application UK Brexit
Social media has become an essential facet of modern society, wherein people share their
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …
[HTML][HTML] Automatic text summarization of biomedical text data: a systematic review
A Chaves, C Kesiku, B Garcia-Zapirain - Information, 2022 - mdpi.com
In recent years, the evolution of technology has led to an increase in text data obtained from
many sources. In the biomedical domain, text information has also evidenced this …
many sources. In the biomedical domain, text information has also evidenced this …
A systematic review of automatic text summarization for biomedical literature and EHRs
Objective Biomedical text summarization helps biomedical information seekers avoid
information overload by reducing the length of a document while preserving the contents' …
information overload by reducing the length of a document while preserving the contents' …
[HTML][HTML] Machine learning based natural language processing of radiology reports in orthopaedic trauma
AW Olthof, P Shouche, EM Fennema, FFA IJpma… - Computer methods and …, 2021 - Elsevier
Abstract Objectives To compare different Machine Learning (ML) Natural Language
Processing (NLP) methods to classify radiology reports in orthopaedic trauma for the …
Processing (NLP) methods to classify radiology reports in orthopaedic trauma for the …