Clinical evidence, not promises.
22 studies published with hospitals, insurers and universities across 6 countries. Every result is one click from its original paper.
- peer-reviewed papers and preprints
- 22
- million patients analyzed
- 68
- countries with studies
- 6
- research lines
- 5
We validate every model with real-world data and blinded specialists before it reaches the clinic.
- Hospitals
- Insurers
- Universities
Research lines
Five fronts where we measure, with real data, whether AI improves clinical decisions.
Kidney and nephrology
Early detection of chronic kidney disease.
3 studies
Medical imaging
X-ray, CT and OCT combined with clinical data.
4 studies
LLMs and clinical search
Assistants that answer with cited evidence.
7 studies
Clinical data and EHR
Reading clinical records at scale, nuance intact.
6 studies
Population health
Predicting risk across millions of patients at once.
2 studies
Latest research
Filter by research line or review status. Every card leads to the summary and the paper.
CNN Identifies Exudative Macular Disease on OCT in AMD and DME Patients with 97% Accuracy
96.4% Accuracy · exudative macular disease
ImagingRetina Today · 2024 · 4 min
AI Chest X‑Ray + Clinical Data Predicts ICU Admission (AUC 0.92) in Hospitalized COVID‑19 Patients
0.92 AUC · ICU admission
ImagingPeer reviewedERJ Open Research · 2022 · 5 min
Automated AI Chest Imaging Analysis Increases Lung Nodule Detection Sensitivity 13% in Screening Patients
+13% Nodule detection sensitivity
ImagingAug 2025 · 5 min
Arkangel AI Tool Improves Early Breast Cancer Detection in Latin American Women to AUC 0.90
0.90 AUC (up to) · breast cancer detection
ImagingArkangel AI whitepaper · Aug 2025 · 5 min
Want to validate Arkangel at your institution?
We design the study with you: protocol, ethics committee, de-identified data and joint publication.