Clinical trial · Observational
fungalAi for Fungal Surveillance & Antifungal Stewardship
Innovative Use of fungalAi for Antifungal Stewardship in Haematology-oncology Patients
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This national Australian study will validate and implement an effective approach to real-time electronic surveillance of fungal infections in patients with blood cancers using technology based on artificial intelligence. It will establish metrics for antifungal stewardship allowing benchmarking of these programs; provide decision support for radiologist interpretation of chest imaging and improve reporting, audit and feedback practices in hospitals where these infections are managed.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Fungal Infections | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| fungalAi platform technology | Combination Product | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- Fungal Cases
- description
- Patients with confirmed invasive fungal infections according to internationally accepted criteria identified by active manual surveillance. Clinical data will be sent to fungalAi platform technology for disease classification.
- interventionNames
- Combination Product: fungalAi platform technology
- label
- Control patients
- description
- Patients without invasive fungal infections.Clinical data will be sent to fungalAi platform technology for disease classification.
- interventionNames
- Combination Product: fungalAi platform technology
Primary outcomes (1)
- measure
- Accuracy of electronic surveillance using fungalAi natural language processing compared to active manual methods for detection of fungal pneumonia
- timeFrame
- 12 months
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * Adults and children * Under the haematology service at participating sites * Inpatient and ambulatory patients. Exclusion Criteria: No exclusion criteria
References
Publications (0)
Data not yet available