10 Top AI Health Care Companies

Health care companies are using artificial intelligence (AI) to improve the diagnosis, treatment and care of patients. They’re providing AI software for a range of health care applications, such as analyzing data, interpreting images and summarizing medical notes. Here, we look at some of the top AI companies serving the health care market.

1. Cleerly

Cleerly uses FDA-cleared machine learning (ML) algorithms to non-invasively measure atherosclerosis (plaque), stenosis and the likelihood of ischemia using coronary computed tomography angiography (CCTA) studies. The company’s AI generates a 3D model of the patient’s coronary arteries, identifies their lumen and vessel walls, locates and measures stenoses and quantifies and categorizes plaque. The measurements are provided to health care providers to support diagnosis and personalized treatment. Customers can also review results in-depth via Cleerly’s web platform.

2. Enlitic

Enlitic’s AI-powered software saves time for radiologists by reading clinical content and then uses machine learning to analyze and interpret the data. The company bought Laitek, a medical imaging data migration and routing services provider, to further enhance workflow for radiologists. Enlitic’s AI solution also works with data management applications to provide health care providers with improved administration, processing and sharing of patient data throughout the health care ecosystem.

3. Qure.ai

Qure.ai uses AI and deep learning technology to provide automated interpretation of radiology exams, such as X-rays, CT scans and ultrasounds, for medical imaging professionals, enabling faster diagnosis and treatment. Qure.ai offers a range of assistance, from personalized onboarding to continuous education and training. The venture capital-backed company also provides its technology to users via a mobile.

4. Medtronic

Medtronic designs, develops and deploys AI-enabled technologies designed to improve patient health. The company’s flagship AI-based product is the GI Genius intelligent endoscopy module, which uses AI to identify colorectal polyps during a colonoscopy. The system works by scanning every visual frame of the procedure in real-time and alerting physicians to the presence of lesions, including small, flat polyps that can go undetected by the human eye.

5. Teledoc Health

Teledoc Health is using AI through a partnership with Microsoft, integrating into the Teladoc Health Solo platform with Microsoft Azure OpenAI Service, Azure Cognitive Services and the conversational and ambient clinical documentation solution Nuance Dragon Ambient eXperience (DAX). The integrated solutions are designed to automate the creation of clinical documentation during virtual exams and improve the quality of shared medical information and care. Teledoc Health also developed an AI predictive model that forecasts the risk of uncontrolled diabetes, enabling more effective, timely patient interventions.

See more: 5 AI Case Studies in Health Care

6. Pieces

Pieces uses generative AI to draft, chart and summarize clinical notes for doctors and nurses. To date, the company’s platform has generated more than 5.4 million patient summaries. The Pieces Working Summary provides an overview of the patient and is updated based on the latest electronic health record (EHR) documentation. The platform drafts daily progress notes to save time, reduce errors and improve billing. It also identifies and tracks discharge barriers for the patient to go home.

7. AITRICS

AITRIC’s AI-based clinical decision support system (CDSS) is designed to be integrated into hospital EHR systems to enable health care providers to monitor real-time changes in patient conditions. The FDA-approved VC patient monitoring dashboard is designed to help clinicians identify patients in critical condition. The software also provides detailed patient pages, allowing medical professionals to review comprehensive histories of vital signs and blood test results to provide proactive treatment.

8. SmarterDx

The SmarterDX platform uses AI to identify missed diagnoses in medical records to help health care providers catch potential errors or oversights, improve diagnostic accuracy and enhance patient safety. SmarterDx’s clinical AI is focused on capturing the correct diagnoses with evidence-based findings, which may include diagnosis-related group (DRG) downgrades. The algorithms provides automatic analysis, and findings aren’t sent to billing without validation by the health care provider.

9. Bayesian Health

Bayesian Health provides “intelligent care augmentation” through its AI-based Targeted Real-Time Early Warning System (TREWS) integrates within a hospital’s EMR system. The platform analyzes patient data, sending actionable clinical signals within existing workflows to help physicians and care team members catch life-threatening complications. The company’s AI is designed to think like a clinician by considering multiple data points in concert rather than individually.

10. AIRS Medical

AIRS Medical uses AI to enhance respiratory health diagnostics to help providers treat patients with respiratory issues and improve outcomes. The company develops AI-driven tools that analyze lung scans, such as CT scans, to help clinicians detect early signs of diseases, such as chronic obstructive pulmonary disease (COPD) and other lung conditions. The AI tools are also designed to integrate with any existing MRI machines without software and hardware upgrades.

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