Paige
Cancer detection
Manual reviews miss cancer cells. Moving 10PB of data to Azure allows hospitals to run diagnostic AI without specialized local hardware.
- First pathology AI to receive FDA approval
- Target 2x annual pathologist adoption growth
Subjective exams took hours. AI now scores vocal biomarkers in 3 seconds to track disease severity in real time.
An American health technology company analyzes vocal biomarkers from 40-second voice samples that match the data density of an MRI, serving major organizations like the CDC and Intermountain Healthcare.
Traditional behavioral health assessments rely on subjective patient self-reporting and can take hours to conduct and assess. The company needed to...
“With Microsoft Azure, we can process conversational speech and return scores within three seconds, offering real-time information to doctors and clinical team members on patients’ welfare and medical state.”
Vocal biomarker platform for clinical screening and health monitoring.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual reviews miss cancer cells. Moving 10PB of data to Azure allows hospitals to run diagnostic AI without specialized local hardware.
Lab cultures delayed UTI treatment. AI now predicts organisms and resistance from clinical history, bypassing the physical test.
$98/hr training costs blocked custom AI. Moving to bare-metal GPUs cut costs 7x, enabling models that slashed chart review times by 80%.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
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.