Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.healun.2025.02.1683 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Invited Commentary on "A Systematic Review and Meta-Analysis of Factors Associated with Esophageal Stent Migration and a Comparison of Anti-Migration Techniques ".
J Gastrointest Surg
March 2025
Department of Surgery, University of Pennsylvania, Philadelphia, PA. Electronic address:
Invited Commentary; Time to Unresectable Recurrence - Time does not pass, it continues.
J Gastrointest Surg
March 2025
Carle Illinois College of Medicine, University of Illinois Urbana-Champaign.
Invited Commentary: Reflections on Prompt Engineering and Generative Artificial Intelligence in Radiology.
Radiographics
April 2025
From the Department of Radiology and Biomedical Imaging, University of California-San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143.
Optimizing Large Language Models in Radiology and Mitigating Pitfalls: Prompt Engineering and Fine-tuning.
Radiographics
April 2025
From the Department of Radiology, George Washington University School of Medicine and Health Sciences, 2300 I St NW, Washington, DC 20052 (T.T.K., R.J.); Yale School of Medicine, New Haven, Conn (M.M.); and University of California San Francisco, San Francisco, Calif (R.S.).
Large language models (LLMs) such as generative pretrained transformers (GPTs) have had a major impact on society, and there is increasing interest in using these models for applications in medicine and radiology. This article presents techniques to optimize these models and describes their known challenges and limitations. Specifically, the authors explore how to best craft natural language prompts, a process known as prompt engineering, for these models to elicit more accurate and desirable responses.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!