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07/27/2023
Matching Patients to Clinical Trials with Large Language Models
Clinical trials are vital in advancing drug development and evidence-bas...
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07/18/2023
PubMed and Beyond: Biomedical Literature Search in the Age of Artificial Intelligence
Biomedical research yields a wealth of information, much of which is onl...
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07/14/2023
A scoping review on multimodal deep learning in biomedical images and texts
Computer-assisted diagnostic and prognostic systems of the future should...
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07/02/2023
BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
Information retrieval (IR) is essential in biomedical knowledge acquisit...
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06/19/2023
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets
Biomedical relation extraction (RE) is the task of automatically identif...
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06/15/2023
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
ChatGPT has drawn considerable attention from both the general public an...
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06/14/2023
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports
Despite the reduction in turn-around times in radiology reports with the...
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04/19/2023
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
While large language models (LLMs) have been successfully applied to var...
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04/10/2023
LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search
Queries with similar information needs tend to have similar document cli...
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02/19/2023
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning
Medical visual question answering (VQA) aims to answer clinically releva...
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02/03/2023
Bioformer: an efficient transformer language model for biomedical text mining
Pretrained language models such as Bidirectional Encoder Representations...
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11/30/2022
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning
Biomedical named entity recognition (BioNER) seeks to automatically reco...
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09/27/2022
LitCovid in 2022: an information resource for the COVID-19 literature
LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/), first lau...
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09/16/2022
Comprehensive identification of Long Covid articles with human-in-the-loop machine learning
A significant percentage of COVID-19 survivors experience ongoing multis...
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05/08/2022
Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework
The automatic assignment of species information to the corresponding gen...
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04/20/2022
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
The COVID-19 pandemic has been severely impacting global society since D...
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04/19/2022
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation
The rapid growth of biomedical literature poses a significant challenge ...
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04/08/2022
BioRED: A Comprehensive Biomedical Relation Extraction Dataset
Automated relation extraction (RE) from biomedical literature is critica...
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04/07/2022
tmVar 3.0: an improved variant concept recognition and normalization tool
Previous studies have shown that automated text-mining tools are becomin...
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03/31/2022
Universal Lymph Node Detection in T2 MRI using Neural Networks
Purpose: Identification of abdominal Lymph Nodes (LN) that are suspiciou...
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11/18/2021
Perceiving and Modeling Density is All You Need for Image Dehazing
In the real world, the degradation of images taken under haze can be qui...
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11/09/2021
Lymph Node Detection in T2 MRI with Transformers
Identification of lymph nodes (LN) in T2 Magnetic Resonance Imaging (MRI...
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10/12/2021
SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring
Image deblurring is a classical computer vision problem that aims to rec...
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01/11/2021
BERT-GT: Cross-sentence n-ary relation extraction with BERT and Graph Transformer
A biomedical relation statement is commonly expressed in multiple senten...
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11/09/2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degenera
Objective Reticular pseudodrusen (RPD), a key feature of age-related mac...
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10/27/2020
A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2
The number of unique terms in the scientific literature used to refer to...
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10/09/2020
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)
The COVID-19 pandemic has had a significant impact on society, both beca...
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09/17/2020
PhenoTagger: A Hybrid Method for Phenotype Concept Recognition using Human Phenotype Ontology
Automatic phenotype concept recognition from unstructured text remains a...
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08/07/2020
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view
Timely access to accurate scientific literature in the battle with the o...
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07/19/2020
Predicting risk of late age-related macular degeneration using deep learning
By 2040, age-related macular degeneration (AMD) will affect approximatel...
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06/11/2020
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature
The latest threat to global health is the COVID-19 outbreak. Although th...
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05/06/2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
Multi-task learning (MTL) has achieved remarkable success in natural lan...
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04/24/2020
TeamTat: a collaborative text annotation tool
Manually annotated data is key to developing text-mining and information...
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12/23/2019
BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale
Capturing the semantics of related biological concepts, such as genes an...
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09/23/2019
Biomedical Mention Disambiguation using a Deep Learning Approach
Automatically locating named entities in natural language text - named e...
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09/06/2019
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
Capturing sentence semantics plays a vital role in a range of text minin...
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08/12/2019
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
When reading medical images such as a computed tomography (CT) scan, rad...
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06/13/2019
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Inspired by the success of the General Language Understanding Evaluation...
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06/07/2019
A deep learning approach for automated detection of geographic atrophy from color fundus photographs
Purpose: To assess the utility of deep learning in the detection of geog...
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04/30/2019
A self-attention based deep learning method for lesion attribute detection from CT reports
In radiology, radiologists not only detect lesions from the medical imag...
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04/09/2019
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology
In radiologists' routine work, one major task is to read a medical image...
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03/04/2019
Fine-grained lesion annotation in CT images with knowledge mined from radiology reports
In radiologists' routine work, one major task is to read a medical image...
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01/18/2019
Exploring Semi-supervised Variational Autoencoders for Biomedical Relation Extraction
The biomedical literature provides a rich source of knowledge such as pr...
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12/02/2018
A multi-task deep learning model for the classification of Age-related Macular Degeneration
Age-related Macular Degeneration (AMD) is a leading cause of blindness. ...
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11/19/2018
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
In assessing the severity of age-related macular degeneration (AMD), the...
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11/13/2018
ML-Net: multi-label classification of biomedical texts with deep neural networks
Background: Multi-label text classification is one type of text classifi...
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10/22/2018
BioSentVec: creating sentence embeddings for biomedical texts
Sentence embeddings have become an essential part of today's natural lan...
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06/11/2018
PubMed Labs: An experimental platform for improving biomedical literature search
PubMed is a freely accessible system for searching the biomedical litera...
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04/17/2018
Personalized neural language models for real-world query auto completion
Query auto completion (QAC) systems are a standard part of search engine...
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04/16/2018
