# Medical AI labeling interfaces

A gallery of labeling and evaluation interfaces built with Label Studio Enterprise programmable interfaces. Each entry is a starting point to adapt, not a fixed template.

**URL:** https://humansignal.com/use-cases/medical-ai

## Medical AI interfaces (2)

### DICOM Medical Image Annotation

**Category:** Medical AI  
**URL:** https://humansignal.com/use-cases/dicom-medical-image-annotation

 Step through a DICOM study in both reconstructed views, switching between bone, soft tissue, and dental windowing presets. Labels come from the file's own structures, and a 3D view links back to the slice you're working in.

A DICOM file already carries the structure — the trick is getting it on screen in a form someone can actually work with. This interface reconstructs the study into frontal and side views you can scroll slice by slice, with presets that switch between the file's own header defaults, the full unfiltered pixel range, and standard grayscale ranges for bone, soft tissue, or teeth. Labels are read directly out of the DICOM, so every encoded structure arrives already segmented, ready to refine with brush and erase tools or dial back with an overlay-strength control. A WebGL 3D view renders the whole scan, and selecting a structure there carries that selection back into the slice view, with the file's full header data alongside for reference.

### Wearable Sensor Activity Labeling

**Category:** Medical AI  
**Data types:** Timeseries  
**URL:** https://humansignal.com/use-cases/wearable-sensor-activity-labeling

Scrub heart rate, HRV, accelerometer, respiration, and SpO2 on one time base, then mark spans in the activity, sleep, or rhythm tab. Both the label sets and the task fields they read are parameters you set per project.

A wearable session is five signals that have to be read against each other: heart rate climbing after the accelerometer, HRV dropping, respiration following, SpO2 holding until it dips. This interface puts all five on one time base with a context track underneath, so precomputed activity, sleep, and rhythm segments stay visible while you work, and outdoor sessions carry a GPS route beside the signals.

Labeling splits across three tabs, and the vocabularies ship as defaults you replace: Running through Sedentary for activity, Awake through Deep Sleep for sleep, Sinus Rhythm through AFib for rhythm, each label with a color and a hotkey.

The task fields are parameters too, so the interface reads whatever your sensor, segment, and route columns are called instead of forcing your data into its names.

**Links**
- [Open the Interface](https://app.humansignal.com/interfaces/-6/overview)

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