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.
Arkangel AI medical-audit architecture for Colombian claims
98 Audit rules
EHRJun 2026 · 1 min
AI detects bipolar disorder in EHRs of patients with affective diagnoses with AUC 0.93
0.93 AUC · bipolar disorder
EHRPreprintmedRxiv · 2026 · 1 min
From free text to SOFA score reconstructs sepsis severity from clinical notes
100% Respiratory variable recovery
EHRPreprintmedRxiv · 2025 · 1 min
Recursive learning architecture improves zero-shot clinical coding F1 from 0.318 to 0.605
0.605 F1 · zero-shot clinical coding
EHRPreprintJMIR Preprints · May 2026 · 1 min
PANDORA LLM Automates COPD Risk Detection with Near-Perfect Extraction and 94% PUMA Accuracy
94.5% PUMA scoring accuracy · MIMIC
EHRConference2025 IEEE Conference on Artificial Intelligence (CAI) · 2025 · 6 min
PANDORA AI Extracts EHR Data, Identifies COPD Risk in Patients with 98% PUMA Accuracy
98% PUMA scoring accuracy · MIMIC-IV
EHRPreprintAug 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.