The future of clinical trials: artificial to augmented to applied intelligence
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
LLMs have capabilities in generating scientific text, guiding clinical trial design, optimizing code, synthesizing medical literature, and facilitating communication of technical findings.
“These studies highlight LLMs’ capabilities in generating scientific text, guiding clinical trial design, optimizing code, synthesizing medical literature, and facilitating communication of technical findings [4–7].”
From Integrating large language models in biostatistical workflows for clinical and translational research (2025) · cites this paper as [7]
Cited by
Sorted by citations
Grambow, S. C., Desai, M., Weinfurt, K. P., Lindsell, C. J., Pencina, M. J., Rende, L., & Pomann, G.-M. (2025) · Journal of Clinical and Translational Science · doi:10.1017/cts.2025.10064 · Cited by 7 · see citing works
Self-citation
- Authors
- Hernandez, A. F., & Lindsell, C. J.
- Affiliations
- Duke University (US)
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2023-12-05
- Volume
- 330
- Issue
- 21
- Pages
- 2061
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W4388591453
- Cited by
- 29
- References
- 0
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 15 · 2023: 1
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Research Impacts
- Keywords
- clinical trials, future of clinical research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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