This paper is in the following e-collection/theme issue:

Natural Language Processing (893) New Methods (1119) Digital Health Reporting Standards, Quality and Transparency in e-Research (128) Development and Evaluation of Research Methods, Instruments and Tools (724) Methods and Instruments in Medical Informatics (185) Machine Learning (2029) Tools, Programs and Algorithms (368) Digital Health Meta-Research and Bibliographic Studies (56)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65371, first published .
Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation

Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation

Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation

Authors of this article:

Tatsuki Hasegawa1 Author Orcid Image ;   Hayato Kizaki1 Author Orcid Image ;   Keisho Ikegami1 Author Orcid Image ;   Shungo Imai1 Author Orcid Image ;   Yuki Yanagisawa1 Author Orcid Image ;   Shuntaro Yada2, 3 Author Orcid Image ;   Eiji Aramaki2 Author Orcid Image ;   Satoko Hori1 Author Orcid Image
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