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
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
棕熊熊应助调皮帆布鞋采纳,获得10
刚刚
江伊发布了新的文献求助10
刚刚
John完成签到 ,获得积分10
1秒前
seasonweng发布了新的文献求助10
1秒前
cdercder应助黄焖鸡采纳,获得10
1秒前
Tetrahydron完成签到,获得积分20
1秒前
典雅的静发布了新的文献求助10
1秒前
登录中发布了新的文献求助10
1秒前
1秒前
2秒前
Singularity应助柳白采纳,获得10
2秒前
好啊哈发布了新的文献求助10
2秒前
熊莉关注了科研通微信公众号
2秒前
小羊完成签到,获得积分20
3秒前
3秒前
liyiren完成签到,获得积分10
3秒前
dudu完成签到 ,获得积分10
3秒前
4秒前
科研通AI5应助snowy_owl采纳,获得10
4秒前
5秒前
5秒前
mayufei发布了新的文献求助10
5秒前
喵药师发布了新的文献求助10
5秒前
5秒前
雷电将军完成签到,获得积分10
6秒前
852应助优秀谷波采纳,获得10
6秒前
yu完成签到,获得积分10
7秒前
科研通AI5应助武勇采纳,获得10
7秒前
hbydyy发布了新的文献求助10
7秒前
7秒前
炙热的钧发布了新的文献求助30
8秒前
羊咩咩关注了科研通微信公众号
8秒前
8秒前
科研小白发布了新的文献求助10
9秒前
9秒前
小羊发布了新的文献求助10
9秒前
杰尼龟完成签到,获得积分10
9秒前
雷电将军发布了新的文献求助10
9秒前
yirenli完成签到,获得积分10
10秒前
afli完成签到 ,获得积分0
10秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Visceral obesity is associated with clinical and inflammatory features of asthma: A prospective cohort study 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Engineering the boosting of the magnetic Purcell factor with a composite structure based on nanodisk and ring resonators 240
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3838196
求助须知:如何正确求助?哪些是违规求助? 3380471
关于积分的说明 10514526
捐赠科研通 3100044
什么是DOI,文献DOI怎么找? 1707291
邀请新用户注册赠送积分活动 821625
科研通“疑难数据库(出版商)”最低求助积分说明 772816