Three products, one clinical standard
Clinical AI for Indonesian hospitals
Imaging, documentation and quality assurance — three tools clinicians use every day. Data storage and LLM inference both sit in the Jakarta Region. Nothing enters the record without a clinician's signature.
Segmentation complete
Lung
- Organ
- Lung
- Window WW / WL
- 1500 / −600
- Threshold
- 0.50
Segmentation complete
Products
One tool for each weak point in the workflow.
Each stands alone and can be adopted separately. What they share is one rule: the clinician signs, not the model.
EdenDiagnosis
ImagingDICOM viewer with automatic organ segmentation.
3Organ modelsLung, colon, liver
- Upload a DICOM series — segmentation runs server-side and comes back as a probability map.
- Axial, coronal and sagittal views with linked crosshairs and per-organ window presets.
- Segmentation overlay with an adjustable threshold, so the clinician sees what every contour rests on.
EdenScribe
DocumentationAI medical scribe: listens to the consultation, drafts the clinical note.
14Note templatesSOAP, ED, obstetrics, paediatrics, psychiatry
- Ambient Indonesian or English transcription with speaker labels and partial results.
- Referral letters, sick notes, discharge summaries and ICD-10 suggestions.
- Patient consent gate before recording, per-facility audio retention, and an append-only audit log.
EdenQA
Quality assuranceRadiology report proofreader — catches mistakes before the report goes out.
7Finding typesTypos through clinical context
- Typo, laterality, inconsistency, measurement, terminology, clinical and patient context.
- OCR for photos, scans, PDF and Word — processed in memory, nothing is stored.
- Learns from rejections: a suggestion rejected with a reason becomes a house rule for the next report.
EdenThyroid
DosimetryDosimetry tools for radioiodine (I-131) thyroid therapy.
90%Prediction intervalReported with every volume estimate
- Estimates thyroid volume from 2D SPECT gamma counts alone — no CT-based volumetric imaging needed.
- Marinelli dose calculator from intended dose, gland mass and uptake, with an MBq–mCi converter.
- Out-of-training-range warnings and a printable result sheet for the record.
EdenDiagnosis
Early detection is key.
Radiology is the gateway to early detection: a 200-bed hospital screens 50–100 cases a day, and the specialist shortage is felt hardest outside the big cities. EdenDiagnosis helps radiologists screen thousands of patients — and when the radiologist and the AI agree, the prediction carries more confidence.
- 651,481
- Deaths from cardiovascular disease
- 357,183
- Deaths from stroke — 21.12% of all deaths
- +8.8%
- Growth in cancer cases, 2018–2020
Indonesia, 2019 (WHO)
The leading cause of death above age 5 (WHO)
Global Burden of Cancer Study (Globocan)
EdenIQ
Tumour segmentation on CT — shape, size and position, straight from the image.
EdenCardiac
Flags likely stenosis on angiograms with a confidence level and length, and classifies brain CTs: ischemic, hemorrhagic or normal.
EdenEye
Detects more than 20 kinds of anomalies on chest X-rays — from cardiomegaly to lung nodules — each with a confidence level.
DICE score per model
Catching disease early changes the prognosis: a 10-year survival rate of about 75% for CAD treated early, above 90% for early-stage lung tumours, and near 100% for prostate cancer.
Internal validation, 300 training epochs.
- Coronary artery95%
- Lung tumour89%
- Colon cancer80%
- Brain tumour77%
- Stroke70%
- Prostate cancer62%
Data Residency
Where your data actually sits.
Compliance is not a badge in the footer. Data storage and model inference run in the Jakarta Region — because your DPO is going to ask.
Stored in Jakarta
LLM inference in Jakarta
See all three running on your own cases.
We run the demo on sample data, then work through the DPIA, retention policy and integration with the systems your facility already runs.