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Author's Reply: Critical Limitations in Systematic Reviews of Large Language Models in Health Care
Complementary to benchmarking LLMs on research datasets, our review covers studies using LLMs in both research and clinical settings. While we identified key challenges of LLMs in real-world applications, a comprehensive assessment of discrepancies between research and clinical settings is clearly beyond the scope.
While our review discusses key concerns of the use of LLMs in clinical settings including hallucination risks and ethical considerations, a comprehensive risk assessment is beyond scope.
J Med Internet Res 2025;27:e82729
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Critical Limitations in Systematic Reviews of Large Language Models in Health Care
The review lacks assessment of the included studies. A recent meta-analysis in medical AI has emphasized the importance of evaluating study design, validation approaches, and statistical rigor [3]. The authors’ approach of simply counting “best performance” instances without considering study quality, sample sizes, or validation rigor represents a significant methodological weakness.
J Med Internet Res 2025;27:e81769
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A mixed methods systematic review will be carried out following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA-P) guidelines [32] (Multimedia Appendix 1) and the Enhancing Transparency in Reporting the Synthesis of Qualitative Research recommendations [33]. The mixed methods approach will incorporate both qualitative and quantitative analyses of the studies selected for the review.
JMIR Res Protoc 2025;14:e67571
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To close this gap, this systematic review aimed to address the following question: What is the evidence for using PROMs to improve health care, and what characterizes the most effective interventions?
JMIR Med Inform 2025;13:e66160
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A recent review by Costa-Brito et al elaborated on the usage of technology to improve physical function among older community-dwelling adults [23] and focused on the purpose and volume of an activity, types of technology, aspects of the usage of technology (adherence, acceptance, feasibility), and health outcomes. The review, however, did not go into the specific characteristics of the study participants, the technology’s functionality, or its user interface.
JMIR Aging 2025;8:e65746
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To the best of our knowledge, no review has been conducted that summarizes the differences in the performance of various types of NLP models for IE within the context of cancer. This review provides an overview of the various NLP methods used for IE and compares them in terms of their performance.
This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
JMIR Med Inform 2025;13:e68707
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Ultimately, 90 articles met criteria for inclusion in this review [2-4,11,13,15,20-103]. This review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines.
A codebook was developed through an interrogative process. First, a codebook was created a priori according to our research questions. Additional codes and subcodes were added through an inductive process.
Online J Public Health Inform 2025;17:e70926
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The review methodology followed the framework of Arksey and O’Malley [22] and the Joanna Briggs Institute [23], and adhered to the PRISMA-Sc R (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) guidelines (Checklist 1). Scoping reviews are specifically useful for reviewing health research evidence and identifying research gaps [24] and therefore align with the goals of our review. The review protocol was registered on Open Science Framework [25].
JMIR Public Health Surveill 2025;11:e70267
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A previous systematic review [11] has suggested that mobile health (m Health) apps hold promise for health behavior change. m Health is defined as “medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants, and other wireless devices” [12].
JMIR Mhealth Uhealth 2025;13:e63313
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Ethics and Equity Challenges in Telerehabilitation for Older Adults: Rapid Review
This review aims to examine these concerns and explore telerehabilitation for older adults over the past 10 years.
Rapid reviews are a form of synthesis that accelerates the traditional systematic review process, facilitating the dissemination of literature in a resource-efficient manner, particularly relevant in the context of rapidly advancing technology research [9].
JMIR Aging 2025;8:e69660
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