Clinical evidence
Peer-reviewed publication behind automated IHS4 scoring for hidradenitis suppurativa, covering the AIHS4 study, the DIQA image quality gate, and the foundational IHS4 and HiSCR references.
Peer-reviewed publication behind automated IHS4 scoring for hidradenitis suppurativa, covering the AIHS4 study, the DIQA image quality gate, and the foundational IHS4 and HiSCR references.
End-to-end clinical trial workflow for hidradenitis suppurativa severity endpoints, covering protocol design, site setup, patient enrolment, in-clinic image capture, automated IHS4 and HiSCR, and EDC data export.
Automated IHS4 and HiSCR for hidradenitis suppurativa clinical trials. AI detection and classification of inflammatory nodules, abscesses and draining tunnels, confirmed by the investigator. CE-marked medical device.
How hidradenitis suppurativa images are captured for automated IHS4 and HiSCR: the standard capture regions, photographed only where there are lesions, framing and lighting rules, DIQA quality control, patient preparation and anonymisation.
Transparent documentation of what the automated IHS4 scoring for hidradenitis suppurativa can and cannot do, including the constraints of photograph-based lesion counting and how each limitation is managed.
Technical detail on how automated lesion detection and counting produce IHS4 and HiSCR for hidradenitis suppurativa, covering lesion classification, the IHS4 formula, severity thresholds, HiSCR against baseline, and comparison with manual assessment.