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1
Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies
Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies
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Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies

Schizophrenia bulletin, 2022-09, Vol.48 (5), p.949-957 [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. 2022 ;The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. ;info:eu-repo/semantics/openAccess ;ISSN: 0586-7614 ;ISSN: 1745-1701 ;EISSN: 1745-1701 ;DOI: 10.1093/schbul/sbac038 ;PMID: 35639561

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2
Natural Language Processing: Its Potential Role in Clinical Care and Clinical Research
Natural Language Processing: Its Potential Role in Clinical Care and Clinical Research
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Natural Language Processing: Its Potential Role in Clinical Care and Clinical Research

Schizophrenia bulletin, 2022-09, Vol.48 (5), p.958-959 [Peer Reviewed Journal]

Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center 2022. 2022 ;ISSN: 0586-7614 ;EISSN: 1745-1701 ;DOI: 10.1093/schbul/sbac092 ;PMID: 35849122

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3
AI am a rheumatologist: a practical primer to large language models for rheumatologists
AI am a rheumatologist: a practical primer to large language models for rheumatologists
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AI am a rheumatologist: a practical primer to large language models for rheumatologists

Rheumatology (Oxford, England), 2023-10, Vol.62 (10), p.3256-3260 [Peer Reviewed Journal]

The Author(s) 2023. Published by Oxford University Press on behalf of the British Society for Rheumatology. 2023 ;ISSN: 1462-0324 ;EISSN: 1462-0332 ;DOI: 10.1093/rheumatology/kead291

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4
Automated methods for the summarization of electronic health records
Automated methods for the summarization of electronic health records
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Automated methods for the summarization of electronic health records

Journal of the American Medical Informatics Association : JAMIA, 2015-09, Vol.22 (5), p.938-947 [Peer Reviewed Journal]

The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. 2015 ;The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocv032 ;PMID: 25882031

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5
Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation
Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation
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Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation

Schizophrenia bulletin, 2022-09, Vol.48 (5), p.939-948 [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com 2022 ;The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;info:eu-repo/semantics/openAccess ;ISSN: 0586-7614 ;ISSN: 1745-1701 ;EISSN: 1745-1701 ;DOI: 10.1093/schbul/sbac051 ;PMID: 35738008

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6
A comprehensive study of named entity recognition in Chinese clinical text
A comprehensive study of named entity recognition in Chinese clinical text
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A comprehensive study of named entity recognition in Chinese clinical text

Journal of the American Medical Informatics Association : JAMIA, 2014-09, Vol.21 (5), p.808-814 [Peer Reviewed Journal]

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. ;Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions 2014 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1136/amiajnl-2013-002381 ;PMID: 24347408

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7
Community challenges in biomedical text mining over 10 years: success, failure and the future
Community challenges in biomedical text mining over 10 years: success, failure and the future
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Community challenges in biomedical text mining over 10 years: success, failure and the future

Briefings in bioinformatics, 2016-01, Vol.17 (1), p.132-144 [Peer Reviewed Journal]

Published by Oxford University Press 2015. This work is written by US Government employees and is in the public domain in the US. ;Published by Oxford University Press 2015. This work is written by US Government employees and is in the public domain in the US. 2015 ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbv024 ;PMID: 25935162

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8
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources
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Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources

Journal of the American Medical Informatics Association : JAMIA, 2015-09, Vol.22 (5), p.993-1000 [Peer Reviewed Journal]

The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2015 ;The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocv034 ;PMID: 25929596

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9
A comparative study of pretrained language models for long clinical text
A comparative study of pretrained language models for long clinical text
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A comparative study of pretrained language models for long clinical text

Journal of the American Medical Informatics Association : JAMIA, 2023-01, Vol.30 (2), p.340-347 [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2022 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocac225 ;PMID: 36451266

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10
Racial disparities in automated speech recognition
Racial disparities in automated speech recognition
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Racial disparities in automated speech recognition

Proceedings of the National Academy of Sciences - PNAS, 2020-04, Vol.117 (14), p.7684-7689 [Peer Reviewed Journal]

Copyright © 2020 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Apr 7, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1915768117 ;PMID: 32205437

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11
Clinical trial cohort selection based on multi-level rule-based natural language processing system
Clinical trial cohort selection based on multi-level rule-based natural language processing system
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Clinical trial cohort selection based on multi-level rule-based natural language processing system

Journal of the American Medical Informatics Association : JAMIA, 2019-11, Vol.26 (11), p.1218-1226 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocz109 ;PMID: 31300825

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12
Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning
Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning
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Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning

Journal of the American Medical Informatics Association : JAMIA, 2020-01, Vol.27 (1), p.56-64 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocz141 ;PMID: 31591641

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13
Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)-Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study
Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)-Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study
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Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)-Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study

JMIR medical informatics, 2019-09, Vol.7 (3), p.e14830-e14830 [Peer Reviewed Journal]

Fei Li, Yonghao Jin, Weisong Liu, Bhanu Pratap Singh Rawat, Pengshan Cai, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 12.09.2019. ;Fei Li, Yonghao Jin, Weisong Liu, Bhanu Pratap Singh Rawat, Pengshan Cai, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 12.09.2019. 2019 ;ISSN: 2291-9694 ;EISSN: 2291-9694 ;DOI: 10.2196/14830 ;PMID: 31516126

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14
CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines
CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines
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CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines

Journal of the American Medical Informatics Association : JAMIA, 2018-03, Vol.25 (3), p.331-336 [Peer Reviewed Journal]

The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017 ;The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocx132 ;PMID: 29186491

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15
Can artificial intelligence help for scientific writing?
Can artificial intelligence help for scientific writing?
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Can artificial intelligence help for scientific writing?

Critical care (London, England), 2023-02, Vol.27 (1), p.75-75, Article 75 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2023 ;ISSN: 1364-8535 ;EISSN: 1466-609X ;DOI: 10.1186/s13054-023-04380-2 ;PMID: 36841840

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16
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning
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NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning

Nucleic acids research, 2022-07, Vol.50 (W1), p.W510-W515 [Peer Reviewed Journal]

The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. 2022 ;The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. ;ISSN: 0305-1048 ;EISSN: 1362-4962 ;DOI: 10.1093/nar/gkac439 ;PMID: 35648435

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17
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

PLoS medicine, 2018-11, Vol.15 (11), p.e1002683-e1002683 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Zech et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Zech et al 2018 Zech et al ;ISSN: 1549-1676 ;ISSN: 1549-1277 ;EISSN: 1549-1676 ;DOI: 10.1371/journal.pmed.1002683 ;PMID: 30399157

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18
Conversational agents in healthcare: a systematic review
Conversational agents in healthcare: a systematic review
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Conversational agents in healthcare: a systematic review

Journal of the American Medical Informatics Association : JAMIA, 2018-09, Vol.25 (9), p.1248-1258 [Peer Reviewed Journal]

The Author(s) 2018. Published by Oxford University Press on behalf of the American Medical Informatics Association. 2018 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocy072 ;PMID: 30010941

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19
Identification of antimicrobial peptides from the human gut microbiome using deep learning
Identification of antimicrobial peptides from the human gut microbiome using deep learning
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Identification of antimicrobial peptides from the human gut microbiome using deep learning

Nature biotechnology, 2022-06, Vol.40 (6), p.921-931 [Peer Reviewed Journal]

2022. The Author(s), under exclusive licence to Springer Nature America, Inc. ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2022. ;ISSN: 1087-0156 ;EISSN: 1546-1696 ;DOI: 10.1038/s41587-022-01226-0 ;PMID: 35241840

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20
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting
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Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting

Journal of the American Medical Informatics Association : JAMIA, 2020-01, Vol.27 (1), p.65-72 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocz144 ;PMID: 31504605

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