AI and Patient Safety in the Nuclear Medicine Outpatient Clinic

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00037324

Enrollment

200

Registered

2025-07-02

Start date

2025-07-02

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

Various clinical conditions encountered in the nuclear medicine outpatient clinic will be examined.

Interventions

Group 1: Retrospective, single-arm analysis as part of basic research on pattern recognition and analysis using AI.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: • Examination in the nuclear medicine outpatient clinic of the Department of Nuclear Medicine, Aachen • Availability of complete imaging, laboratory, and report data (depending on the modality examined)

Exclusion criteria

Exclusion criteria: • Insufficient image quality • Incomplete datasets (missing laboratory values, reports, or imaging data)

Design outcomes

Primary

Measure	Time frame
Accuracy of Image Analysis in Scintigraphic Diagnostics Including Laboratory Values (e.g., Tumor Markers) by AI Systems (Hypothesis: AI systems do not identify findings in the nuclear medicine outpatient clinic sufficiently effectively.)	—

Secondary

Measure	Time frame
Communication with Patients Informed by AI Systems Implications for Medical Counseling and Patient Safety of Patients Informed by AI Systems Hypothesis Generation for Further AI-Based Studies	—

Countries

Germany

Contacts

Public ContactJonas Ihm

Klinik für Nuklearmedizin, Uniklinik RWTH Aachen

jihm@ukaachen.de02418088735

Outcome results

None listed

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