Outpatient Diagnostic Support

Outpatient Diagnostic Support products leverage advanced technologies, including AI and machine learning, to assist healthcare providers in diagnosing and managing various medical conditions in outpatient settings. These tools enhance diagnostic accuracy, streamline workflows, and enable earlier detection of diseases, ultimately improving patient outcomes and operational efficiency.

These solutions integrate seamlessly with existing healthcare systems such as EHRs, pathology labs, or imaging devices, providing support across diverse specialties, including oncology, ophthalmology, chronic disease management, mental health, and nutrition. By analyzing structured and unstructured data from clinical records, lab results, or even patient speech patterns, they offer actionable insights to clinicians and care teams. Some platforms include autonomous diagnostic capabilities for immediate decision-making, while others focus on continuous monitoring and personalized prevention plans.

Key workflows supported by this category include identifying and quantifying disease markers, providing real-time risk stratification, automating incidental finding management, and generating personalized care recommendations. Many products also address care gaps by enabling broader access to diagnostic evaluations and integrating with telehealth or remote monitoring systems. These tools are particularly beneficial in improving access to specialized care, reducing diagnostic errors, and optimizing provider efficiency.

Outpatient Diagnostic Support products are transforming outpatient care by equipping healthcare professionals with precise, scalable tools to enhance early intervention and streamline diagnostic processes.

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Azra AI logo
Azra AI
Claimed

Azra AI

Company Info
Founded: 2022
Headcount: 11-50
Customers
Verified Customers: 3
Customers Served: Hospital / Health System, Health Plan
Product Overview
Security and Compliance Certifications: HITRUST CSF, HIPAA
Azra AI develops AI-powered solutions aimed at optimizing clinical workflows in healthcare, particularly in oncology and radiology. Their technology is used to automate the identification and prioritization of cancer patients from pathology reports, manage incidental findings in radiology, and streamline tumor registry processes. By integrating with existing healthcare systems, Azra AI's tools help healthcare providers deliver timely and efficient care, reduce workflow inefficiencies, and ensure compliance with regulatory standards.
C the Signs logo
C the Signs

C the Signs

Company Info
Founded: 2017
Headcount: 51-200
Customers
Customers Served: Hospital / Health System
Product Overview
C the Signs is a clinical decision support tool designed to help healthcare professionals identify cancer risk at an early stage. It uses artificial intelligence and evidence-based guidelines to assess patient symptoms, risk factors, and clinical data, providing recommendations for appropriate investigations and referrals. The platform is intended for use in primary care and other healthcare settings to improve early cancer detection and streamline the referral process.
Callyope

Callyope

Customers
Customers Served: Ambulatory Practice
Product Overview
Callyope is an AI-driven mental health monitoring platform that analyzes speech patterns to assess psychiatric conditions such as depression, bipolar disorder, and cognitive deficits. Patients complete a one-minute voice test via smartphone, either at home or in a clinical setting, and the system evaluates speech features like vocabulary, speech rate, and prosody to predict clinical scores. This technology enables psychiatrists to remotely monitor patients, personalize treatments, and potentially reduce hospital readmissions. Callyope's approach does not require a speech baseline, making it adaptable for new users.
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Carenostics

CareNostics

Company Info
Founded: 2021
Headcount: 1-10
Customers
Verified Customers: 4
Customers Served: Hospital / Health System
Product Overview
Security and Compliance Certifications: HIPAA
Carenostics offers AI-powered clinical decision support tools designed to enhance the management of chronic diseases like diabetes, hypertension, and chronic kidney disease. Their solutions integrate with EHRs to analyze patient data, providing early identification and actionable insights to healthcare providers. This helps in better disease management, personalized care, and reducing hospital admissions.
Company Info
Founded: 2010
Headcount: 51-200
Customers
Verified Customers: 3
Customers Served: Ambulatory Practice, Hospital / Health System
Product Overview
Security and Compliance Certifications: HIPAA
LumineticsCore by Digital Diagnostics is an AI diagnostic system that autonomously detects diabetic retinopathy, including macular edema, at the point-of-care using fundus images captured by a trained operator. It provides rapid results without needing specialist review, which facilitates immediate care decisions and referrals if disease is detected. The system is designed for healthcare providers, eye care professionals, payors, and patients, enhancing access to diagnostic evaluations for people with diabetes.
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Kintsugi

Kintsugi

Company Info
Founded: 2019
Headcount: 11-50
Customers
Customers Served: Ambulatory Practice, Hospital / Health System
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA, GDPR
Kintsugi develops AI-driven voice biomarker technology to detect signs of depression and anxiety from brief, free-form speech samples. Their primary offering, Kintsugi Voice, is an API-first platform that integrates with call centers, telehealth systems, and remote patient monitoring applications to identify mental health challenges in real time. This technology analyzes vocal features without relying on the content of speech, enabling language-agnostic assessments.
Oatmeal Health logo
Oatmeal Health

Oatmeal Health

Company Info
Founded: 2022
Headcount: 1-10
Customers
Customers Served: Hospital / Health System
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA
Oatmeal Health is an AI-enabled cancer screening provider that focuses on underserved communities, particularly those served by Federally Qualified Health Centers (FQHCs). The platform offers lung and breast cancer screenings, leveraging AI to identify high-risk patients early. It integrates both on-site and virtual care teams, helping to ease the workload of healthcare providers while offering these services at no cost, funded by Medicare/Medicaid.
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Paige

Paige

Company Info
Founded: 2018
Headcount: 51-200
Customers
Verified Customers: 9
Customers Served: Hospital / Health System, Ambulatory Practice, Life Sciences
Product Overview
Security and Compliance Certifications: ISO 13485, FDA Approval
Paige offers an AI-powered digital pathology platform designed to assist pathologists in diagnosing cancer and other diseases from pathology slides. The platform includes tools for detecting, quantifying, and visualizing tumor areas, providing decision support and streamlining workflows. Paige's AI models are trained on large datasets of pathology images and integrate with existing lab systems to enhance diagnostic accuracy and efficiency in clinical settings.
Syntrillo logo
Syntrillo

Syntrillo

Company Info
Founded: 2020
Headcount: 1-10
Customers
Customers Served: Ambulatory Practice, Hospital / Health System
Product Overview
Security and Compliance Certifications: HIPAA
Syntrillo is developing an AI-enabled telehealth platform aimed at preventing strokes by integrating data from wearable devices and clinical records to monitor and manage patients' stroke risk. The platform features an automated disease monitoring system that models patient risk and behavior, generates personalized prevention plans, and includes an AI virtual assistant providing 24/7 support to patients and providers. Additionally, Syntrillo offers access to a remote care team comprising neurologists, nurse practitioners, and rehabilitation specialists to ensure comprehensive care.