SleepFM Inference Platform

AI-powered sleep analysis using the SleepFM foundation model. Analyze polysomnography data for sleep staging and disease risk prediction.

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Sleep Stage Classification
Automatically classify sleep stages (Wake, N1, N2, N3, REM) throughout your recording with high accuracy
  • Epoch-by-epoch classification
  • Visual timeline and distribution charts
  • Detailed sleep architecture analysis
Disease Risk Prediction
Predict risk scores for 130+ health conditions based on sleep patterns using advanced AI models
  • Cardiovascular disease risk
  • Neurological condition prediction
  • Comprehensive risk categorization

How It Works

1. Upload Data

Upload your polysomnography recording in EDF or HDF5 format

2. AI Analysis

SleepFM model processes your data using advanced deep learning

3. View Results

Get detailed visualizations and insights from your sleep data

About SleepFM

SleepFM is a multimodal sleep foundation model trained on over 585,000 hours of polysomnography recordings from approximately 65,000 participants. Published in Nature Medicine (2025), it represents a breakthrough in sleep analysis and disease prediction.

The model achieves exceptional performance with C-Index scores of 0.84 for all-cause mortality, 0.85 for dementia, and 0.81 for myocardial infarction, among 130+ conditions.

Privacy & Security

All data is encrypted and securely stored. Your sleep recordings are processed with the highest standards of data protection and privacy.

Learn with Video Tutorials

Master advanced workflows like batch processing, referral management, and report customization with our comprehensive video library.

Structured Learning Paths
Follow curated sequences designed to take you from beginner to expert. Each path unlocks progressively as you complete tutorials.
Track Your Progress
Monitor your learning journey with completion badges, progress bars, and certificates. See exactly what you've mastered.

For Radiology & Sleep Medicine Professionals

Streamline your clinical workflow with secure patient data sharing and collaborative review

Clinical Workflow
1

Upload Patient Studies

Upload polysomnography recordings individually or in batches for multiple patients

2

Automated Analysis

AI-powered sleep staging and disease risk assessment completed in minutes

3

Review & Annotate

Review detailed visualizations, compare historical studies, and generate insights

4

Secure Sharing

Generate time-limited secure links to share results with referring physicians or specialists

Key Features for Clinicians

Batch Processing

Process up to 50 patient studies simultaneously with queue management and progress tracking

Longitudinal Analysis

Compare multiple studies over time to track disease progression and treatment efficacy

HIPAA-Ready Security

End-to-end encryption, secure storage, and time-limited sharing links for patient privacy

Professional Reports

Generate comprehensive PDF reports with sleep architecture analysis and risk assessments

Custom Templates

Create and share analysis templates for standardized protocols across your practice

Clinical Use Case Example

Dr. Sarah Chen, Sleep Medicine Specialist, uses the platform to manage her sleep lab's workflow. She uploads overnight PSG studies for 15 patients each week using batch upload, reviews the AI-generated sleep staging and disease risk predictions, and generates secure sharing links for referring cardiologists and neurologists. The longitudinal comparison feature helps her track treatment outcomes for patients with sleep apnea, while the custom templates ensure consistent analysis protocols across her team.

Sleep Apnea MonitoringCardiovascular Risk AssessmentTreatment Efficacy TrackingMulti-Specialty Collaboration

Ready to Analyze Your Sleep Data?

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