Article Text

Download PDFPDF

E-022 Viz recruit ICH volume increased the screening rate and enrollment in ENRICH
  1. B Jankowitz1,
  2. J Davies2,
  3. C Schirmer3,
  4. J Day4,
  5. O Bibas5,
  6. N Levkovitz6,
  7. E Blanc7,
  8. G Pradilla8
  1. 1Neurosurgery, Cooper Neurological Institute, Camden, NJ
  2. 2Neurosurgery, UBNS, Buffalo, NY
  3. 3Neurosurgery, Geisinger, Wilkes Barre, PA
  4. 4Neurosurgery, UAMS, LIttle Rock, AR
  5. 5Data Analytics,, Israel, Israel
  6. 6Product Development,, Israel, Israel
  7., Israel, Israel
  8. 8Neurosurgery, Emory, Atlanta, GA


Introduction Early Minimally invasive Removal of IntraCerebral Hemorrhage (ENRICH) is a RCT evaluating the efficacy of minimally invasive surgery (MIS) for ICH. AI ENRICH is a prospective trial operating within and in parallel to the ENRICH trial that utilizes an AI application, Viz RECRUIT ICH Volume, to identify and segment ICH to quickly identify potentially eligible subjects.

Methods Non-contrast CT scans performed at 3 participating US hospitals were evaluated specifically for a parenchymal hemorrhage by Viz RECRUIT ICH Volume. Participating health care professionals downloaded a phone application that allowed users to be notified for any hemorrhage ≥ 5 mL. Screening and enrollment rates are based on participating hospitals reports.

Results Over a combined period of 374 days, 20,128 CT scans were evaluated by the application, yielding a total of 110 patients that met ENRICH inclusion criteria for hematoma volume (30-80 mL). Of these, 9 patients were enrolled. The average screening rate in months prior to the use of Viz RECRUIT ICH Volume was 5.4 patients per month. After implementation, average screening rate increased to 7.6 patients per month. The average enrollment rate prior to the use of Viz ICH VOLUME was 0.29 patients per month, which increased to 0.82 after implementation. This equated to an increase in trial enrollment of 213%.

Conclusions Artificial intelligence based programs such as Viz RECRUIT ICH Volume may help increase RCT screening and enrollment by identifying potential candidates automatically and alerting medical professionals quickly.

Disclosures B. Jankowitz: 2; C; stryker, medtronic. J. Davies: None. C. Schirmer: None. J. Day: None. O. Bibas: None. N. Levkovitz: None. E. Blanc: 5; C; G. Pradilla: None.

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.