Nature Search

Large language models for clinical decision support in gastroenterology and hepatology

This Perspective discusses the use and potential of large language models and clinical decision support systems in gastroenterology and hepatology, highlighting opportunities, challenges and limitations of large language models and clinical decision support systems in clinical practice. Key directions for research and insights into clinical integration and safe use are also discussed.

Isabella Catharina Wiest
Mamatha Bhat
Jakob Nikolas Kather
Reviews22 Aug 2025
Nature Reviews Gastroenterology & Hepatology

P: 1-15
Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology

Ferber et al. present an autonomous artificial intelligence agent system for deployment of specialized medical oncology computational tools, validating their system across various clinical scenarios representative of typical patient care workflows.

Dyke Ferber
Omar S. M. El Nahhas
Jakob Nikolas Kather
ResearchOpen Access06 Jun 2025
Nature Cancer

Volume: 6, P: 1337-1349
Prompt injection attacks on vision language models in oncology

Vision-language artificial intelligence models (VLMs) can be employed to recognize lesions in cancer images. Here, the authors show that VLMs can be misled by prompt injection attacks, producing harmful output and leading to incorrect diagnoses.

Jan Clusmann
Dyke Ferber
Jakob Nikolas Kather
ResearchOpen Access01 Feb 2025
Nature Communications

Volume: 16, P: 1-9
The future landscape of large language models in medicine

Clusmann et al. describe how large language models such as ChatGPT could be used in medical practice, research and education. These models could democratize medical knowledge and facilitate access to healthcare, but there are also potential limitations to be considered.

Jan Clusmann
Fiona R. Kolbinger
Jakob Nikolas Kather
ReviewsOpen Access10 Oct 2023
Communications Medicine

Volume: 3, P: 1-8
Serum metabolome associated with severity of acute traumatic brain injury

Traumatic brain injury is associated with changes to the metabolome. Here the authors show that acute traumatic brain injury has distinctive serum metabolic patterns which may suggest protective changes of systemic lipid metabolism aiming to maintain lipid homeostasis in the brain.

Ilias Thomas
Alex M. Dickens
Tommaso Zoerle
ResearchOpen Access10 May 2022
Nature Communications

Volume: 13, P: 1-15
Acidosis induces RIPK1-dependent death of glioblastoma stem cells via acid-sensing ion channel 1a

Jan Clusmann
Klaus-Daniel Cortés Franco
Stefan Gründer
ResearchOpen Access12 Aug 2022
Cell Death & Disease

Volume: 13, P: 1-13
TILTomorrow today: dynamic factors predicting changes in intracranial pressure treatment intensity after traumatic brain injury

Shubhayu Bhattacharyay
Florian D. van Leeuwen
Tommaso Zoerle
ResearchOpen Access02 Jan 2025
Scientific Reports

Volume: 15, P: 1-18
Measurement invariance of six language versions of the post-traumatic stress disorder checklist for DSM-5 in civilians after traumatic brain injury

Fabian Bockhop
Marina Zeldovich
Tommaso Zoerle
ResearchOpen Access04 Oct 2022
Scientific Reports

Volume: 12, P: 1-15

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