AI Solutions Deliver Connected Teams

The pressure on medical professionals to provide quality and effective care to patients is enormous. Physicians in every subspeciality are searching for efficiencies at every patient and collaboration touchpoint while navigating their own resource constraints. That’s where AI platforms for healthcare can help.

More than 1,000 medical systems worldwide are using Aidoc’s AI-powered technology and medical AI platform to:

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Improve patient care and clinical outcomes through rapid triage and notification

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Empower teams to operationalize the unexpected and collaborate seamlessly

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Automatically assist with patient capture and follow-up management

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Decrease disruptions and breaks in continuum of care by helping teams coordinate

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Reduce care costs, treatment turnaround time, and length of stay 

Our always on aiOS enterprise platform and AI-based solutions cover 75% of patient populations, empowering physicians to make informed decisions based on real-time data. Connected care teams can drive improved outcomes across specialties and departments, unifying a patient’s journey.

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A Comprehensive Clinical AI Solution

  • Aortic Care
  • Venous Thromboembolism (VTE)
  • Coronary Artery Disease
  • Echocardiography (AI application partner)
  • Structural Heart Disease
  • Neurovascular
  • Neurosurgery
  • Spine Care
  • Abdominal Aortic Measurements
  • Aortic Dissection
  • Brain Aneurysm
  • C-Spine Fracture
  • Coronary Artery Calcification
  • Incidental Pulmonary Embolism
  • Intra-Abdominal Free Gas
  • Intracranial Hemorrhage
  • M1 Large Vessel Occlusion
  • Malpositioned Endotracheal Tubes (ETT)
  • Midline Shift
  • Pneumothorax
  • Pulmonary Embolism
  • Rib Fractures
  • Vessel Occlusion
  • Vertebral Compression Fracture

AI-Powered, Human-Enabled Workflows

Aidoc’s connected system of intelligent solutions and artificial intelligence operating system enables clinicians to work more efficiently by consolidating data and streamlining communication to support quicker and more comprehensive decision making. Streamlined workflows help prevent patients from being lost to follow-up and can increase downstream procedures.


Radiology solutions include seamless, image-based triage and quantification connecting to 17 organic FDA-cleared algorithms and eight FDA-cleared partner algorithms.

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Radiology imaging on a smart phone

Care Coordination

Mobile app providing real-time notification of time-sensitive cases, built-in risk stratification and a mobile imaging viewer. Automatically fed EHR data facilitates cross-department communication.

Patient Management

Identify patients needing follow-up – such as those with untreated or undertreated coronary artery disease – using integrations to track follow-up adherence, provide clinical pathway steerage and automate outreach to patients, primary care physicians or clinics.

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Aidoc Clinical Trial Boards dashboard

Clinical Trial Enrollment

AI-driven automatic patient identification for clinical trial enrollment.

Trusted and Proven Solutions

Our understanding of the complex problems faced by clinicians is reflected in key success metrics from our customers, such as:

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Carl Armato
Novant Health, CEO
Dr. Howard Forman headshot
Howard Forman, MD, MBA, FACR
Emergency Radiologist and Faculty Director of Finance, Yale New Haven Hospital
Carl Armato
Novant Health, CEO
Carl Amato headshot

“With the help of [Aidoc], Novant Health is taking proactive steps to improve patient experience, improve health outcomes and reduce emergency department length of stay.”

Howard Forman, MD, MBA, FACR
Emergency Radiologist and Faculty Director of Finance, Yale New Haven Hospital
Dr. Howard Forman headshot

“This has far exceeded my expectations…”

Discover more

Explore why effective healthcare starts with a connected system of intelligence in this free whitepaper. Learn:

  • Why now is the time to build the business case for artificial intelligence
  • What effective clinical AI looks like
  • How health system-wide interconnectivity can help improve clinical outcomes
  • Steps to building a long-term AI strategy
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