OM1

OM1

OM1’s PhenOM® platform harnesses AI to create digital phenotypes that reveal intricate patterns within patient data from over 300 million individuals. By synthesizing complex interactions, it identifies unique patient profiles, enhancing clinical insights on diagnoses, disease trajectories, and treatment responses. This technology optimizes patient selection for trials and improves care management strategies.

Top OM1 Alternatives

1

nxtHealth

NxtHealth Smart Technologies for Telehealth enhances patient care by extending therapeutic experiences beyond clinical environments.

2

Opkit

Opkit leverages AI to streamline routine phone calls for healthcare providers, enhancing efficiency and precision.

3

NeuroICH

NeuroICH revolutionizes the detection of intracranial hemorrhage with its AI-driven analysis of non-contrast head CT scans.

4

Plenful

Plenful revolutionizes administrative tasks in healthcare with its AI-driven workflow automation platform.

5

Tennr

Navigating the patient referral process can be cumbersome, with faxed PDFs and handwritten notes creating inefficiencies.

6

RedBrick AI

RedBrick AI is a specialized platform designed for rapid medical data annotation, tailored for healthcare AI teams.

7

MedGEO

This user-friendly platform enhances accuracy, reduces claim denials, and integrates seamlessly with all EHRs...

8

Reema

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Curi

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Regard

By surfacing critical insights previously overlooked, it enhances clinical decision-making, improves patient safety, and boosts...

11

BioSymetrics

By integrating machine learning with zebrafish models, it predicts novel gene targets and validates findings...

12

AizaMD

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WRDensity

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Sully.ai

Seamlessly integrating with existing systems, these agents enhance efficiency while ensuring HIPAA compliance, safeguarding patient...

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LabAnalyzer

By allowing uploads in various formats—PDF, image, or text—individuals receive precise explanations and critical insights...

Top OM1 Features

  • Personalized patient insights
  • Predictive outcome analysis
  • Disease progression tracking
  • Distinctive subpopulation identification
  • Clinical trial optimization
  • Real-world deployment capabilities
  • Actionable insights generation
  • Integrated EMR and claims data
  • Patient journey mapping
  • AI-powered digital phenotyping
  • Enhanced research efficiency
  • Risk stratification tools
  • Under-diagnosed condition detection
  • Intelligent data cloud access
  • Cost-effective data utilization
  • High-performance predictive models
  • Streamlined trial enrollment processes
  • Customized care management strategies
  • Comprehensive data synthesis
  • Real-time patient identification.