Biomedical Report Summarization
seconds reducing reporting delays and supporting better clinical decisions in
BioScan AI transforms raw medical imaging data (X-rays, MRIs, dermal scans) into structured, clinician-ready diagnostic reports. Using models accelerated by NVIDIA GPUs and TensorRT, we extract critical insights in seconds reducing reporting delays and supporting better clinical decisions in low-resource settings.
Interactive Query Resolution
Healthcare providers interact with our AI assistant, built with NLP models fine-tuned using NVIDIA DGX Cloud, to query conditions, symptoms, or findings across diverse patient records. This enables context-aware decision support with evidence-based, real-time recommendations.
Custom Model Training at Scale
We train and fine-tune proprietary convolutional and transformer-based models using NVIDIA A100 GPUs on AWS. This allows rapid model development across diverse datasets, ensuring high diagnostic accuracy for region-specific diseases like TB, pneumonia, and skin cancer.
Edge-to-Cloud Automated Workflows
Using a hybrid architecture powered by Jetson Xavier NX (on edge) and NVIDIA GPU-optimized cloud APIs, BioScan AI automates image processing, diagnosis, and reporting workflows. These low-latency pipelines enable offline operation in remote clinics and real-time feedback in hospitals.