Explore how Aidoc’s clinical AI solutions can increase hospital efficiency, show proven return on investment, and help enable better outcomes.
Learn moreImproving the lives of patients across the care continuum
Setting the standard for neuro care with real time notification
Automatically analyze imaging to rapidly identify abnormalities
Discover how Aidoc’s AI platform offers seamless end-to-end integration into a facility’s existing IT infrastructure enabling implementation of AI at scale.
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Connect the right users across workflows
Ensure patients are identified, captured and followed
Custom configuration with minimal IT lift
Vetted third-party algorithm developers and OEMs
Information and resources about AI transformation rooted in real-world experiences.
Learn MoreLearn how to go beyond the algorithm to develop a scalable AI strategy and implementation plan.
Learn more about Aidoc’s approach, mission and leadership team that is revolutionizing healthcare with AI.
Learn moreExplore how Aidoc’s clinical AI solutions can increase hospital efficiency, show proven return on investment, and help enable better outcomes.
Learn moreImproving the lives of patients across the care continuum
Setting the standard for neuro care with real time notification
Automatically analyze imaging to rapidly identify abnormalities
Discover how Aidoc’s AI platform offers seamless end-to-end integration into a facility’s existing IT infrastructure enabling implementation of AI at scale.
Learn moreAidoc’s proprietary enterprise platform
Connect the right users across workflows
Ensure patients are identified, captured and followed
Custom configuration with minimal IT lift
Vetted third-party algorithm developers and OEMs
Information and resources about AI transformation rooted in real-world experiences.
Learn MoreLearn how to go beyond the algorithm to develop a scalable AI strategy and implementation plan.
Learn more about Aidoc’s approach, mission and leadership team that is revolutionizing healthcare with AI.
Learn moreRadiological “read-times” were compared before and after institutional implementation of an AI-screening system for detecting intracranial hemorrhage (ICH) on CT brain scans. “Read-time” was defined as the time from when a radiological study was opened for viewing until either a finalized report or a wet read (whichever came first) was placed in the electronic medical record (EMR). Cases were collected from non-contrast CT brain cases ordered from the emergency department (ED) during equivalent seven-week pre-implementation and post-implementation time periods.
Radiologist average “read-times” were reduced after AI-augmented system implementation (by 9% when including combined ICH positive and negative case; by 27% when considering just positive cases).
AI-assisted ICH detection can decrease average radiological read-time on CT-brain cases ordered from the ED, possibly through a psychological “urgency effect” or “validation effect” prompted by the AI-prescreen result.
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