How does digitalhumanOS™ voice AI technology work?

Multi-modal AI combines voice recognition, speech biomarkers, and machine learning to analyze conversations in real-time. Integrates with Samsung Galaxy devices for ambient screening and biometric monitoring.

What are speech biomarkers and how accurate are they?

Speech biomarkers are vocal characteristics correlating with health conditions. Gia™ Cognitive Index™ achieves 0.89 AUC (Lancet-validated, FDA 510(k) registered), validated across 12.3M patients with 27B clinical records.

How does Samsung Galaxy Watch integration work for healthcare?

Galaxy Watch provides ambient speech screening and biometric monitoring via Samsung Health. Samsung DeX offers unified provider access. Knox security ensures HIPAA-compliant data transmission.

What is the machine learning technology behind the platform?

Hierarchical Random Forest algorithms with bias mitigation process data in sub-second timeframes. Includes automatic optimization and drift detection to maintain 0.89 AUC clinical accuracy.

What is Digital Twin Framework technology?

Personalized AI models learn each patient's unique health patterns, adapting to speech characteristics and health changes. Enables more accurate early detection with fewer false positives. In pharmaceutical applications, digital twins support patient stratification for clinical trials and personalized drug response monitoring.

How are speech biomarkers used in pharmaceutical drug development?

Speech biomarkers provide non-invasive, continuous cognitive endpoint monitoring for clinical trials—especially valuable for Alzheimer's drugs like Leqembi (lecanemab) and Kisunla (donanemab). Our 0.89 AUC validated platform tracks cognitive changes over time, supporting drug efficacy measurement and post-market surveillance.

What EHR systems does digitalhumanOS integrate with?

100+ EHR systems including PointClickCare, Epic, Cerner, Meditech, Allscripts via HL7 FHIR. Bi-directional sync for appointments, notes, and demographics in real-time.

How long does EHR integration take?

Standard integrations take 2-4 weeks for setup, testing, and deployment. Enterprise deployments with multiple EHRs take 4-6 weeks. No workflow redesign required.

Is EHR integration secure and HIPAA compliant?

Yes—end-to-end encryption, SOC 2 Type II certification, HIPAA-compliant handling. Every transaction is logged and auditable with Samsung Knox enterprise security.

Will AI integration disrupt existing clinical workflows?

No, AI enhances existing workflows without disruption. Bi-directional EHR sync keeps records current. Changes phase in gradually with full staff training and support.

Is the voice AI technology HIPAA compliant?

Yes—end-to-end encryption, Samsung Knox security, FDA registration, regular audits. Voice data encrypted in transit and at rest with access controls and audit logging.

What languages does the voice AI support?

78 languages with natural conversation and 48 emotional expressions. Auto-detects patient language and adapts style for equitable access across diverse populations.

How does the Scienza voice assistant work?

Gia™ uses ElevenLabs conversational AI for natural language clinical documentation, screening, and guidance. Real-time voice processing with HIPAA compliance.

What can I ask the Gia™ digital human?

Clinical documentation, cognitive screening, patient access, virtual nursing, revenue optimization, and AI implementation. Also provides product demos and FDA-registered agent information.

Does the voice assistant work on mobile devices?

Yes—fully optimized for smartphones and tablets with responsive design, touch-friendly controls. Works on iOS Safari, Android Chrome, and modern mobile browsers.

Does digitalhumanOS™ only work on Samsung devices?

No—digitalhumanOS™ is a cloud-based platform accessible from any modern web browser. Samsung devices offer the optimized experience with pre-configuration, Knox security, and same-day deployment. But facilities can also access the platform via tablets, computers, or smartphones they already own.

How do speech biomarkers work for cognitive assessment?

Speech biomarkers analyze micro-acoustic features including pause patterns, voice tremor, articulation precision, and linguistic complexity. Our AI processes over 1,000 vocal features per second to detect subtle cognitive changes with 94% clinical accuracy, validated across 27B clinical records.

FDA 510(k) Registered Technology

The Science Behind Every Conversation

Transforming routine healthcare calls into powerful health insights through voice AI and clinically validated speech biomarkers.

0.89AUC Score

27BClinical Records

84Languages

Technical Demo

Powering Healthcare AI

Multi-Modal AI Technology Stack

Seven core technologies working in harmony to transform healthcare delivery

Samsung

Streaming

Voice AI

Biomarkers

ML Engine

Digital Twin

Continuous Learning Loop

Samsung

Streaming

Voice AI

Biomarkers

ML Engine

Digital Twin

Continuous Learning

Tech 1

Voice AI Technology

Sophisticated conversational AI driving natural patient interactions with advanced natural language processing.

0+ conv/hr

Natural language processing

Speech Biomarker Analysis

Proprietary voice analysis technology that analyzes speech patterns and vocal characteristics to support healthcare providers.

0.89 AUC screening accuracy*

Voice pattern analysis

Speech biomarkers

Healthcare validation

Real-time processing

Tech 3

Samsung Galaxy Integration

Ambient speech screening and real-time biometric monitoring through Samsung Galaxy Watch, Samsung Health platform, and Samsung DeX capabilities.

Real-time early warning system

Samsung Galaxy Watch connectivity

Samsung Health integration

Samsung DeX provider tools

Ambient speech screening

Tech 4

Computer Vision Analysis

Visual Co-Pilot for movement disorder screening via automated AIMS test. Captures and analyzes facial movements, trunk, and extremities during Gia interactions.

One interaction, two assessments

Tardive Dyskinesia screening

Automated AIMS test

Video documentation to EHR

Movement pattern analysis

Tech 5

Machine Learning Ensemble

Hierarchical Random Forest algorithms with bias mitigation and continuous learning capabilities.

Sub-second processing

Random Forest algorithms

Digital Twin Framework

Advanced patient modeling with predictive analytics and comprehensive care coordination systems.

Real-time Streaming

High-performance data processing infrastructure capable of handling massive concurrent assessments.

99.9% uptime

Real-time processing

Scalable infrastructure

High availability

Data streaming

*Accuracy rates may vary depending on data sources and specific use cases. This system is intended to assist healthcare professionals and is not intended for medical diagnosis, treatment, cure, or prevention of disease.

Now Deployed in Production

"By implementing Scienza Health's digitalhumanOS™, we reduced workflow time by 73% while easing staff burnout, reducing patient wait times, and recovering lost revenue."

Dr. Yaariv Khaykin

Chief Medical Officer, Pace Cardiology

73% Time Reduction

98% Completion

300+ Patients

Technical Deep Dive

Voice AI Technology Deep Dive

Technical insights into our speech biomarker and ambient computing technology

Every Conversation Compounds

While Gia handles workflows, every interaction enriches the deepest longitudinal dataset in senior care—powering smarter screening and continuous improvement.

B+

Clinical Records

CaptureEvery patient interaction

LearnEnrich the data lake

ImproveSmarter AI models

ScaleFaster, better care

12.3M Patients

14,613 Facilities

4+ Years Longitudinal

How It Works

One conversation powers two outcomes—hear it in action

Patient Call

Gia™

EHR Updated

Clinical Screen

Listen to a live demo

Start here

Confirms appointments, collects forms, and verifies insurance—so patients arrive ready and visits start on time.

Click to load audio

0:000:00

FDA Registered

FDA 510(k) RegisteredPatent Pending0.89 AUC Validated

Same Call. 7 Screens.
Zero Extra Time.

While Gia handles scheduling and follow-ups, voice biomarkers passively detect conditions invisible to traditional assessments.

Cognitive

Alzheimer's Disease · Mild Cognitive Impairment

Motor

Parkinson's Disease · Tardive Dyskinesia

Behavioral

Depression · Anxiety · PTSD

Facial Dimensions

Speech Patterns

Vocal Bursts

Validated on 3M neurodegenerative patients624K Alzheimer's420K Parkinson's

Explore Cognitive Screening

Explore Solutions

Technology in Action

See how our multi-modal AI powers real-world healthcare solutions

Platform Overview

See how our 9 AI agents leverage this technology

Cognitive Screening

0.89 AUC with speech biomarkers

Virtual Nursing

24/7 monitoring with voice AI

Samsung Integration

Galaxy Watch & Health platform connectivity

Intellectual Property

Innovation Protection

Our technology is protected by patents, trademarks, and proprietary methodologies

Patent Protection

Patent 63/681,276 covers our multi-modal AI assessment methodology for cognitive health monitoring through speech biomarkers.

Multi-Modal AI Assessment

DIGITAL HUMAN Trademark

Serial #98735818 protects our Digital Human™ brand and technology nomenclature in healthcare AI applications.

Trademark Protected

Proprietary Training Data

27B clinical records and 48 affective states represent proprietary LTC-specific training data unavailable to competitors.

Trade Secrets Protected

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✓ FDA Registered✓ HIPAA Compliant✓ Samsung Knox✓ Works in Any Browser

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Powering 26,000+ healthcare facilities nationwide