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AI Empowering Radiologists

Aidoc’s advanced imaging AI helps radiologists streamline workflows, prioritize findings, activate care teams and facilitate patient follow-up.

Aidoc's cutting-edge AI platform revolutionizes healthcare by empowering radiologists to play a central role, fostering deeper connections throughout the patient's journey and enabling multi-disciplinary teams to deliver more impactful care.

  • Enhance efficiency

    Triage algorithms alert on suspected acute findings. Quantification algorithms automate repetitive tasks.

  • Improve patient outcomes

    Detection algorithms increase disease awareness. Incidental and actionable follow-up recommendations are effectively managed.

  • Streamline workflows

    Provides bi-directional care team communication through a single mobile application.

  • Leverage deep integrations

    Aidoc enhances radiologist workflows by integrating deeply with your EHR, PACS, Scheduling and 
Reporting systems.

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Radiology at the Center of Patient’s Imaging Journey

Aidoc’s advanced AI platform, the aiOS™, keeps radiology at the center of patient care. With integration into existing workflows it provides seamless connectivity to every step of the patient journey – enabling coordinated, connected patient care amongst departments and facilities.

  • ED Communication & Coordination

  • Radiology Solution

  • Care Team Communication
& Coordination

    Patient
    Management

  • Patient
    Management

The Widget – A Single Interface To Drive AI Workflows

Radiologists face inefficiencies when reviewing and acting on AI results from multiple vendors. This fragmented approach can lead to increased workload, decreased productivity and errors – the opposite of AI-enabled support.

The Aidoc Widget streamlines AI workflows by consolidating results from various algorithms, including those from our strategic partners, into a single, unified interface. This centralized platform reduces cognitive burden, enhances efficiency and supports more accurate and timely diagnosis.

  • Runs on any workstation

  • Provides key images and summary of
AI results

  • Tightly integrated with PACS, including AI triage results marked directly in worklist

  • Facilitates chat with downstream care team members’ mobile devices

One Interface, One User Experience

  • View results of every algorithm run, both with and without AI findings

  • A quick glance of the Widget shows the Radiologist which pathologies to confirm

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Imaging AI for a Broad Range of Pathologies

Aidoc’s AI-powered solutions seamlessly integrate with your existing radiology systems, providing a centralized platform for AI results through the Widget. Providing access to one of the broadest range of FDA-cleared and 
CE/UKCA-marked algorithms in clinical AI, Aidoc empowers radiologists to prioritize urgent cases and deliver 
more timely, accurate care.

  • Neurovascular

    • Brain Aneurysm
    • CT Perfusion (Icometrix Icobrain CVA)
    • Fractures – C-Spine
    • Fractures – Vertebral Compression
    • Intracranial Hemorrhage
    • Midline Shift
    • Vessel Occlusions (LVO, MeVO)

  • Aortic

    • Abdominal Aortic Measurement
    • Aortic Dissection

  • Cardiology

    • Coronary Artery Calcification
    • Echocardiography (Us2.ai)

  • Venous Thromboembolism

    • Incidental Pulmonary Embolism
    • Pulmonary Embolism
    • RV/LV Ratio (Imbio)

  • Chest, Abdomen, Breast and Bone

    • Breast Lesions (ScreenPoint Transpara)
    • ETT Malposition
    • Fractures – Extremity (Gleamer BoneView)
    • Fractures – Rib
    • Intra-abdominal Free Gas
    • Pneumothorax
    • Pulmonary Nodules (Riverain ClearRead CT)

How It Started vs. How It’s Going: AI Early Adopters Discuss How the Technology Has Changed Practice

Radiologists from the University of Rochester Medical Center and Einstein Healthcare Network share firsthand experiences with medical imaging AI adoption in this on-demand webinar.

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Proven in Clinical Settings

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  1. Worklist Reprioritization Using Artificial Intelligence Improves Turnaround Times of Chest CT Examinations Positive for Acute 
 Pulmonary Embolism. Brendan Harrison, MD. Presented at RSNA 2021
  2. Clinical Outcome of Incidental Pulmonary Embolism Detected by Artificial Intelligence Software: A Retrospective Analysis. 
 Presented at RNSA 2022
  3. Prescreening for Intracranial Hemorrhage on CT Head Scans with an AI-Based Radiology Workflow Triage Tool: An Accuracy Study. 
 Chodakiewitz YG et al. 2019

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