Artificial intelligence in managing clinical trial design and conduct: Man and machine still on the learning curve?

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

12 citing papers in PubMed.

1. From API to Action: A Multi-Model Comparison of OpenAI, Anthropic, Google, and Meta LLMs for Clinical Trial Data Extraction.Bioengineering (Basel, Switzerland) · 2026
   Article
2. AI in Clinical Trials and Drug Development: Challenges and Potential Advancements.Current drug discovery technologies · 2025
   Review
3. A Multi-Modal AI-Driven Cohort Selection Tool to Predict Suboptimal Non-Responders to Aflibercept Loading-Phase for Neovascular Age-Related Macular Degeneration: PRECISE Study Report 1.Journal of clinical medicine · 2023
   Article
4. Large Language Models for Healthcare Data Augmentation: An Example on Patient-Trial Matching.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
   Article
5. Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes.Journal of diabetes science and technology · 2023
   Article
6. The role of artificial intelligence in hastening time to recruitment in clinical trials.BJR open · 2023
   Review
7. How can artificial intelligence optimize value-based contracting?Journal of pharmaceutical policy and practice · 2022
   Article
8. Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability.Aging · 2022
   Article
9. Scaling up artificial intelligence to curb infectious diseases in Africa.Frontiers in digital health · 2022
   Article
10. Artificial intelligence in pharmacovigilance - Opportunities and challenges.Perspectives in clinical research
    Review
11. Exploring the bioethical implications of using artificial intelligence in writing research proposals.Perspectives in clinical research
    Review
12. Applied intelligence in clinical drug development: Potential benefits and emerging concerns.Perspectives in clinical research
    Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.