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.
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 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 moreA total of 620 consecutive non-contrast head CT scans from CT scanners used for inpatient and emergency room patients at a large academic hospital. Immediately following image acquisition, scans were automatically analyzed for the presence of ICH using commercially available software (Aidoc, Tel Aviv, Israel). Cases Identified as positive for ICH by AI (ICH-AI+) were automatically flagged in the radiologists’ reading worklists, where flagging was randomly switched off with a probability of 50%. Study turnaround time (TAT) was measured automatically as the time difference between study completion and first clinically communicated study reporting, with timestamps for these events automatically retrieved from various radiology IT systems.
TATs for flagged cases (73 ± 143 min.) were significantly lower than TATs for non-flagged (132 ± 193 min.) cases (p<0.05, one-sided t-test), where 105 of the 122 ICH-AI+ cases were true positive reads. Total sensitivity, specificity, and accuracy over all analyzed cases were 95.0%, 96.7%, and 96.4%, respectively.
Automatic identification of ICH reduces study TAT for ICH in emergent care head CT settings, and can improve clinical management of ICH by accelerating clinically indicated therapeutic interventions.
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