Radiologists lost hours to manual reporting. AI now drafts complex diagnostic notes, ensuring consistent care 24/7.
A healthcare AI company serving 2,500 institutions across 45 countries, processing over 35 million radiological examinations annually.
Radiologists faced severe resource shortages and the risk of diagnostic errors during long shifts or night rotations. Manual reporting tasks consumed...
“These regions, where medical resources are scarce, suffer from a critical shortage of radiologists. Our mission is to make high-quality care accessible to everyone, especially where the needs are most pressing, and more broadly to reduce inequalities in access to accurate and reliable diagnoses.”
AI software platform for medical imaging and radiology diagnostic support.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Clinical data was trapped in unstructured text. An NLP model standardized 76,000 reports in two months—300x faster than manual review.
Nurses manually reviewed charts for risk. AI now automates stratification, launching a diagnostic tool in 12 months vs years.
Memory limits forced 2mm scans that obscured tumors. AI now renders sharp 1mm images in 5 minutes for precise targeting.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
Manual documentation bogged down 2.5M repairs. GenAI now summarizes history, helping new techs apply decades of expert knowledge instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.