Identification of movement patterns based on sensor data and intraoperative endoscopic images using the methodology of artificial intelligence by the example of transurethral holmium laser based enucleation of the prostate

Identification of movement patterns based on sensor data and intraoperative endoscopic images using the methodology of artificial intelligence by the example of transurethral holmium laser based enucleation of the prostate - Holmster

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00024168

Enrollment

500

Registered

2021-01-27

Start date

2021-03-01

Completion date

Unknown

Last updated

2025-04-07

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

Conditions

N40

Interventions

Group 1: Surgeons performing a transurethral holmium laser based enucleation of the prostate

Eligibility

Sex/Gender

Male

Age

18 Years to 120 Years

Inclusion criteria

Inclusion criteria: - patients for endurological holmium enucleation of the prostate gland - Operators with different levels experience

Exclusion criteria

Exclusion criteria: Lack of consent from the surgeons or the patient

Design outcomes

Primary

Measure	Time frame
Capture of movement data and OP relevant image features	—

Secondary

Measure	Time frame
Identification of movement patterns and image features	—

Countries

Germany

Contacts

Public ContactArkadiusz Miernik

Universitätsklinikum FreiburgDepartment ChirurgieAbteilung für UrologieSektion Urotechnologie

arkadiusz.miernik@uniklinik-freiburg.de+497612702581

Outcome results

None listed

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