Medical & Healthcare Imaging

Transform healthcare delivery with FDA-ready computer vision solutions for medical image analysis, diagnostic assistance, and clinical decision support systems.

Discuss Your Project

Industry Challenges We Address

FDA/CE regulatory approval pathways
Patient data privacy (HIPAA, GDPR compliance)
Integration with PACS and EHR systems
Explainability requirements for clinical adoption
Handling rare diseases with limited training data

Overview

Medical imaging AI represents a paradigm shift in healthcare, augmenting clinician capabilities with machine learning models trained on millions of annotated medical images. Our solutions assist radiologists, pathologists, and clinicians in detecting diseases earlier, quantifying disease progression, and reducing diagnostic errors.

We develop models compliant with regulatory frameworks including FDA 510(k), CE marking, and HIPAA requirements. Our expertise spans X-ray, CT, MRI, ultrasound, mammography, retinal imaging, and digital pathology. Each model undergoes rigorous validation against clinical outcomes to ensure safety and efficacy.

Applications

Key computer vision applications we deliver for medical & healthcare imaging

Radiology AI - X-ray & CT Analysis

Automated detection of lung nodules, fractures, pneumonia, tuberculosis, and other pathologies in chest X-rays and CT scans with sensitivity exceeding 95%.

Digital Pathology

Analyze whole slide images (WSI) for cancer detection, grading, and biomarker quantification. Our models assist pathologists in identifying mitotic figures, tumor margins, and metastatic regions.

Retinal Disease Detection

Screen for diabetic retinopathy, age-related macular degeneration, and glaucoma from fundus photographs with specialist-level accuracy for early intervention.

MRI Segmentation & Analysis

Precise segmentation of brain structures, tumors, and organs in MRI scans for surgical planning, treatment monitoring, and volumetric analysis.

Mammography Screening

AI-assisted breast cancer screening that reduces false positives while maintaining high sensitivity, helping radiologists prioritize suspicious findings.

Image Enhancement & Denoising

Improve image quality in low-dose CT scans and noisy MRI acquisitions using deep learning denoising, enabling dose reduction while maintaining diagnostic quality.