Automating Clinical Trial Eligibility Screening: Quantitative Analysis of GPT Models versus Human Expertise-Reference-Cited by-同舟云学术

Automating Clinical Trial Eligibility Screening: Quantitative Analysis of GPT Models versus Human Expertise

Published:2024-06-26 Issue: Volume: Page:626-632
ISSN:
Container-title:Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments
language:
Short-container-title:

Author:

Devi Arti¹^ORCID,Uttrani Shashank¹^ORCID,Singla Aryansh¹^ORCID,Jha Sarthak¹^ORCID,Dasgupta Nataraj²^ORCID,Natarajan Sayee²^ORCID,S. Punekar Rajeshwari³^ORCID,A. Pickett Larry²^ORCID,Dutt Varun¹^ORCID

Affiliation:

1. Applied Cognitive Science Lab Indian Institute of Technology Mandi India - 175005, India

2. Syneos Health, Morrisville, North Caroline, USA,27560, USA

3. Syneos Health, India,122002, India

Funder

IIT mandi iHub and HCI foundation

Syneos health

Indian Institute of Technology Mandi

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652037.3663922

Reference17 articles.

1. Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation

2. Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020). An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ digital medicine, 3(1), 17.

3. Electronic Screening Improves Efficiency in Clinical Trial Recruitment

4. Recruitment and Retention of Patients into Emergency Medicine Clinical Trials

5. Heinemann, S., Thüring, S., Wedeken, S., Schäfer, T., Scheidt-Nave, C., Ketterer, M., & Himmel, W. (2011). A clinical trial alert tool to recruit large patient samples and assess selection bias ingeneral practice research. BMC medical research methodology, 11(1), 1-10.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services;International Journal of Public Health;2024-08-16