Aidoc - Advanced Healthcare-grade AI Based Decision Support Software
Aidoc develops advanced healthcare-grade AI based decision support software. Our technology analyzes medical imaging to provide one of the most comprehensive solutions for flagging acute abnormalities across the body, helping radiologists prioritize life threatening cases and expedite patient care.
FDA Cleared & CE Marked
Intracranial Hemorrhage
510(k) Triage and notification software indicated for use in the analysis of non-enhanced head CT images; flags and communicates suspected positive findings of pathologies in head CT images, namely Intracranial Hemorrhage (ICH).
Large Vessel Occlusions
510(k) Triage and notification software indicated for use in the analysis of head CTA images; flags and communicates suspected positive findings of Large Vessel Occlusion (LVO).
Acute C-Spine Fractures
510(k) Triage and notification software indicated for use in the analysis of cervical spine CT images; flags and communicates suspected positive findings of linear lucencies in the cervical spine bone in patterns compatible with fractures.
Pulmonary Embolism
510(k) Triage and notification software indicated for use in the analysis of CTPA images; flags and communicates Pulmonary Embolism (PE).
Intra-Abdominal Free Gas
510(k) Triage and notification software indicated for use in the analysis of abdomen CT images; flags and communicates suspected positive cases of Intra- Abdominal Free Gas (IFG).
Incidental PE
510(k) Triage and notification software indicated for use in the analysis of CT images (not dedicated CTPA protocol) ; flags and communicates incidental Pulmonary Embolism (PE) on GE and Siemens scanners.
Videos related to this software
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Aidoc - Always on AI for Radiology - Video
Aidoc is the leading provider of artificial intelligence solutions that support and enhance the impact of radiologist diagnostic power - helping them expedite patient treatment and improve quality of care. The company's FDA and CE approved solutions reduce turnaround time and increase overall efficiency by flagging acute anomalies in real time. Radiologists benefit from state-of-the-art deep learning technology that is "Always -on", running behind the scen
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