Explore how Aidoc’s clinical AI solutions can increase hospital efficiency, show proven return on investment, and help enable better outcomes.
Learn moreDiscover 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 moreSee the latest research, case studies, tips and more to start improving outcomes with healthcare AI today.
Learn moreLearn 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 moreDiscover 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 moreSee the latest research, case studies, tips and more to start improving outcomes with healthcare AI today.
Learn moreLearn more about Aidoc’s approach, mission and leadership team that is revolutionizing healthcare with AI.
Learn moreThe algorithm to flag abnormal non-contrast CT examinations for ICH was implemented in a busy academic neuroradiology practice. The algorithm was introduced in three places:(a) as a “pop-up” widget on ancillary monitors, (b) as a marked examination in reading worklists, and (c) as a marked examination for reprioritization based on the presence of the flag.
A reduction in queue adjusted wait time was observed between negative (15.45 min.; 95% confidence interval [CI]: 15.07, 15.38) and positive (12.02 minutes; 95% CI: 11.06, 12.97; P<.0001) artificial intelligence ICH detected examinations with reprioritization. Reduced wait time was present for all order classes but was greatest for examinations ordered as routine for both inpatients and outpatients due to their low priority.
Implementation of an algorithm for the detection of intracranial hemorrhage on non-contrast enhanced head CTs into the clinical workflow reduced wait time, and overall turnaround time when specifically used to prioritize examinations.
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