Arkangel AI is a cloud-native Healthcare AI platform that provides automated disease detection, medical image analysis, and clinical documentation auditing. The solution utilizes Computer Vision and Deep Learning to analyze medical data—including radiology images, pathology slides, and EHR records—to identify clinical pathologies and documentation gaps.

Key Capabilities

Automated Diagnostics: The platform analyzes retinal scans, X-rays, and pathology slides to detect up to 19 different pathologies. According to the vendor, the system is designed to provide diagnostic support in real-time, even in resource-constrained environments.
Hypocrates AutoML: A proprietary no-code environment that enables healthcare researchers and clinicians to train and deploy custom machine learning models for disease detection without programming expertise.
AI Coding & Billing Auditor: The solution processes ICD-10 and CPT codes to identify documentation discrepancies, missed diagnoses, and billing opportunities within hospital systems.
Evidence-Based Clinical Search: Integrates Large Language Models (LLMs) with a Retrieval-Augmented Generation (RAG) framework to provide clinicians with validated medical information from sources like PubMed.
Offline & Lightweight Deployment: The platform's architecture supports deployment in areas with limited internet connectivity, focusing on global health accessibility.
Multilingual Support: The system processes and interacts in English, Spanish, and Portuguese.

Audience & Use Cases

Audience: Radiologists, Pathologists, Clinical Researchers, and Revenue Cycle Managers.
Use Case: Accelerating diagnostic workflows for large-scale screenings in oncology and ophthalmology.
Use Case: Automating hospital chart reviews to ensure billing compliance and documentation accuracy.
Use Case: Developing custom AI models for specialized medical research using the no-code AutoML interface.

Technical Specifications

Deployment: AI-as-a-Service (SaaS), API-driven, and offline-compatible modules.
Architecture: RAG (Retrieval-Augmented Generation) for clinical intelligence; CNNs (Convolutional Neural Networks) for image analysis.
Integrations: Supports standard DICOM and HL7/FHIR protocols for interoperability with medical imaging and EHR systems.

Arkangel AI

What is Arkangel AI?

Categories & Use Cases