Computer Vision
Vision models intelligently scan medical documents and images, flag potential issues, and assist with diagnosis, helping both clinicians and AI tools to process information accurately and efficiently.
Optical Character Recognition (OCR)
Purpose-built for healthcare, our OCR scans prescriptions, labels, and clinical documents with unmatched accuracy and speed.
Anonymization Engine
Our Anonymization Engine extracts sensitive personal identifiers from DICOM images and medical records, ensuring data security and compliance.
Natural Language Processing
Natural Language Processing with advanced medical entity recognition simplifies interactions with unstructured clinical data.
Audio Models
Advanced audio transcription technologies based on trained model language pipelines analyze voice recordings, enabling seamless communication between healthcare providers and patients.
Large Language Models
Large Language Models trained on a hospital’s own data deliver highly accurate outputs, aligning seamlessly with existing workflows.
Clinical Note Summarization
AI-powered tools distill lengthy medical notes into concise, structured summaries, enabling faster decision-making.
Prescription Extraction Models
Our models automatically extract comprehensive information from prescriptions, including dosages, patient details, and medical instructions.
Predictive Analysis
Predictive Analysis uses large-scale medical data to identify trends, anticipate risks, and optimize resource allocation.
Patient Summary Extraction
Harnesses AI to pinpoint and extract critical information from patient records, creating comprehensive summaries for care teams.