An artificial intelligence (AI)-based approach to clinical trial recruitment: The impact of Viz RECRUIT on enrollment in the EMBOLISE trial

医学 队列 临床试验 内科学
作者
Ameer E Hassan,Saisree Ravi,Sohum Desai,Hamzah M Saei,Ermias Mckennon,Wondwossen Tekle
出处
期刊:Interventional Neuroradiology [SAGE Publishing]
被引量:1
标识
DOI:10.1177/15910199231184604
摘要

EMBOLISE (NCT04402632) is an ongoing randomized controlled trial investigating the safety and efficacy of middle meningeal artery embolization for the treatment of subacute or chronic subdural hematoma (SDH). Viz RECRUIT SDH is an artificial intelligence (AI)-based software platform that can automatically detect SDH in noncontrast computed tomography (NCHCT) images and report the volume, maximum thickness, and midline shift. We hypothesized that the mobile recruitment platform would aid enrollment and coordinate communication and image sharing among the entire research team.Patient enrollment in EMBOLISE prior to and after implementation of Viz RECRUIT SDH at a large comprehensive stroke center was compared along with the performance of the software platform. The EMBOLISE trial was activated on May 5, 2021, and Viz RECRUIT SDH was activated on October 6, 2021. The pre-AI cohort consisted of all patients from EMBOLISE to AI activation (153 days), and the post-AI cohort consisted of all patients from AI activation until August 18, 2022 (316 days). All alerts for suspected SDH candidates were manually reviewed to determine the positive predictive value (PPV) of the algorithm.Prior to AI-software implementation, there were 5 patients enrolled (0.99 patients/month) and one screen failure. After the implementation of the software, enrollment increased by 36% to 1.35 patients/month (14 total enrolled), and there were no screen failures. Over the entire post-AI period, a total of 6244 NCHCTs were processed by the system with 207 total SDH detections (3% prevalence). 35% of all alerts for suspected SDH were viewed within 10 min, and 50% were viewed within an hour. The PPV of the algorithm was 81.4 (CI [75.3, 86.7]).The implementation of an AI-based software for the automatic screening of SDH patients increased the enrollment rate in the EMBOLISE trial, and the software performed well in a real-world, clinical trial setting.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
包凡之完成签到,获得积分10
1秒前
情怀应助自由橘子采纳,获得10
1秒前
zzz发布了新的文献求助10
1秒前
CipherSage应助1111111111111采纳,获得10
2秒前
搞怪南风完成签到,获得积分10
2秒前
文章使我快了完成签到,获得积分10
2秒前
cooper完成签到 ,获得积分10
3秒前
Ou发布了新的文献求助10
3秒前
sxx完成签到,获得积分10
3秒前
上官若男应助tanglu采纳,获得10
3秒前
麋鹿完成签到 ,获得积分10
3秒前
公西翠萱完成签到 ,获得积分10
3秒前
qixiaoqi发布了新的文献求助10
4秒前
博慧完成签到 ,获得积分10
5秒前
小刘医生完成签到,获得积分10
7秒前
安安完成签到,获得积分10
7秒前
啊啊啊啊完成签到,获得积分10
7秒前
英俊的铭应助飞飞鱼采纳,获得10
9秒前
科目三应助zzz采纳,获得10
9秒前
小小西瓜萝卜青菜完成签到,获得积分10
9秒前
思源应助虚幻采枫采纳,获得10
10秒前
10秒前
不安的可乐完成签到,获得积分10
10秒前
11秒前
nano完成签到 ,获得积分10
11秒前
da完成签到,获得积分10
11秒前
科研通AI2S应助啊啊啊啊采纳,获得10
12秒前
cyndi发布了新的文献求助20
12秒前
13秒前
852应助小小西瓜萝卜青菜采纳,获得10
15秒前
sci完成签到,获得积分10
16秒前
醉熏的鑫发布了新的文献求助10
17秒前
Nizarn发布了新的文献求助10
17秒前
18秒前
18秒前
乐呵呵完成签到,获得积分10
18秒前
18秒前
忧心的惜天完成签到 ,获得积分10
18秒前
77完成签到,获得积分10
19秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds第二卷 1200
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038657
求助须知:如何正确求助?哪些是违规求助? 3576306
关于积分的说明 11375198
捐赠科研通 3306108
什么是DOI,文献DOI怎么找? 1819379
邀请新用户注册赠送积分活动 892698
科研通“疑难数据库(出版商)”最低求助积分说明 815066