Reply to “Optimizing clinical adoption of large language models in hepatology: Toward terminological precision, multilingual adaptability, and interpretive literacy”

Jan Clusmann; Jakob Nikolas Kather

doi:10.1016/j.jhep.2026.01.019

Reply to “Optimizing clinical adoption of large language models in hepatology: Toward terminological precision, multilingual adaptability, and interpretive literacy”

Research output: Contribution to journal › Comment/Debate › Contributed › peer-review

Contributors

Jan Clusmann - , Department of Internal Medicine I, Division Transfusion Medicine, Else Kröner Fresenius Center for Digital Health, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK) Partner Site Dresden, University Hospital Aachen (Author)
Jakob Nikolas Kather - , Department of Internal Medicine I, Else Kröner Fresenius Center for Digital Health, National Center for Tumor Diseases (NCT) Heidelberg (Author)

Details

Original language	English
Journal	Journal of hepatology
Publication status	E-pub ahead of print - 2 Feb 2026
Peer-reviewed	Yes

External IDs

PubMed	41638494
ORCID	/0000-0002-3730-5348/work/211722510

Keywords

ASJC Scopus subject areas

Hepatology

The barriers to uptake of artificial intelligence in hepatology and how to overcome them

Clusmann, J., Balaguer-Montero, M., Bassegoda, O., Schneider, C. V., Seraphin, T., Paintsil, E. & Luedde, T. & 9 others, Lopez, R. P., Calderaro, J., Gilbert, S., Marjot, T., Spann, A., Shawcross, D. L., Lens, S., Trépo, E. & Kather, J. N., 14 Nov 2025, In: Journal of hepatology. 83, 6, p. 1410-1426 17 p.

Research output: Contribution to journal › Review article › Contributed › peer-review

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Reply to “Optimizing clinical adoption of large language models in hepatology: Toward terminological precision, multilingual adaptability, and interpretive literacy”

Contributors

Details

External IDs

Keywords

ASJC Scopus subject areas

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The barriers to uptake of artificial intelligence in hepatology and how to overcome them