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 prospective study, assessing the AI software deployment in a clinical environment to analyze routinely acquired chest CT scans of adult oncology patients. Three time periods of 15 weeks each were compared: routine workflow without AI, manual triage without AI, and worklist prioritization with AI. Diagnostic accuracy of the tool was evaluated on both prospectively and retrospectively collected data. Temporal endpoints including Detection and Notification Times (DNT) were assessed.
A total of 11,736 CT scans were evaluated. Prevalence of IPE was 1.2% (n=143). The AI software detected 131 TP, 12 FN, 31 FP, and 11559 TN. Sensitivity was 91.6%, specificity 99.7%, NPV 99.9%, and PPV 80.9%. When applied retrospectively, the AI software found IPEs in 47 CTs (44.8%) that were missed in the radiology report. The median DNT for IPE positive examinations was 7714, 4973, 87 min for the respective time periods. The difference in DNT between positive and negative CTs was largest when using AI assistance and was significantly different from both workflows without AI.
A commercially available AI tool was found to have a high diagnostic efficacy in detecting IPE on CT of oncology patients. AI assisted worklist prioritization was shown to be effective in significantly reducing the time to diagnosis of IPE cases compared to the routine clinical workflow.
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