Explore how Aidoc’s clinical AI solutions can increase hospital efficiency, show proven return on investment, and help enable better outcomes.
Learn morePrioritize findings and activate care teams in streamlined workflows
Consistently measure disease and capture incidental findings
Setting the standard for neuro care with real time notification
Streamline workflows and centralize patient management
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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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 morePrioritize findings and activate care teams in streamlined workflows
Consistently measure disease and capture incidental findings
Setting the standard for neuro care with real time notification
Streamline workflows and centralize patient management
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 moreThis retrospective study evaluates the impact of vessel suppression on radiology residents’ reading speed and detection of ≤2mm pulmonary nodules over 14 months, before and after implementation. It includes CT chest exams for patients with malignancy risk. Reading times were measured, and final reports were analyzed using natural language processing (NLP) algorithms to assess nodule size and detection rates.
A total of 4,429 CT chest scans were analyzed (1,002 pre- and 3,427 post-implementation). After vessel suppression implementation, average reading time significantly decreased from 19.1 to 12.2 minutes (p<0.01), and punctate pulmonary nodule detection increased from 13.0% to 24.2% (p<0.01).
Vessel suppression can enhance CT chest reading speed for radiology residents, particularly in high-risk cancer patients, while also increasing punctate nodule detection.
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