AI integration into the diagnostic process for intracranial hemorrhage at the Oktoberfest

AI integration into the diagnostic process for intracranial hemorrhage at the Oktoberfest - WiesnAI - LMU-RAD01250

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00034969

Enrollment

500

Registered

2024-09-23

Start date

2024-09-21

Completion date

Unknown

Last updated

2025-10-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

I61

Interventions

Group 1: This is a prospective, non-randomized, single-center, single-arm, open-label pilot study that will be conducted during Oktoberfest 2024 (September 21 to October 6, 2024). This study aims to e

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: - Specialist training in radiology - Training regarding the study process - Willingness to participate in the study

Exclusion criteria

Exclusion criteria: - Missing test subject information sheet/consent

Design outcomes

Primary

Measure	Time frame
Validation of AI results in the diagnostic process of CCTs at the Munich Oktoberfest 2024 by querying the primary finding (intracranial hemorrhage) before and after viewing the AI ??results Target parameters: - Number of CCT examinations during the study period - Assessment of the presence of intracranial bleeding - Assessment of the presence of intracranial hemorrhage after additional review of the AI ??results	—

Measure

Time frame

Validation of AI results in the diagnostic process of CCTs at the Munich Oktoberfest 2024 by querying the primary finding (intracranial hemorrhage) before and after viewing the AI ??results Target parameters: - Number of CCT examinations during the study period - Assessment of the presence of intracranial bleeding - Assessment of the presence of intracranial hemorrhage after additional review of the AI ??results

—

Secondary

Measure	Time frame
The handling of AI tools in the diagnostic process will also be discussed. Further target parameters: - Acceptance of AI support by radiologists - Integration of AI functionality into the clinical workflow - Identification of potential challenges or advantages in the reporting process of AI use in extraclinical environments	—

Countries

Germany

Contacts

Public ContactClemens Cyran

Klinikum der Universität München, Klinik und Poliklinik für Radiologie

clemens.cyran@med.uni-muenchen.de+49 89 44007 3620

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026