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June 20, 2024
New Data Presented for Aidoc’s aiOS Patient Management Technology
June 20, 2024—Aidoc announced the presentation of findings on the clinical use of the company’s aiOS platform for artificial intelligence (AI)–powered patient management. The company stated that the aiOS technology is intended to ensure that patients requiring follow-up for incidental or chronic conditions are accurately identified, captured, and monitored to bridge critical gaps in health care delivery.
The findings were delivered at VAM24, the Society for Vascular Surgery’s 2024 Vascular Annual Meeting held June 19-22 in Chicago, Illinois.
According to the company, Yale New Haven Hospital in New Haven, Connecticut, deployed Aidoc’s aortic aneurysm patient management solution to enhance its aortic aneurysm management program. The results showed that clinic volume for follow-up approximately doubled; the time to intervention decreased from 270 to 58 days; the number of interventions increased 14%; and the aneurysm rupture rate was reduced by 62%, from 1.3% to 0.5%.
“Aidoc’s comprehensive patient management platform has transformed our approach to patients with abdominal aortic aneurysms (AAAs),” commented Edouard Aboian, MD, Assistant Professor of Vascular Surgery at Yale School of Medicine, in Aidoc’s press release. “The integration of AI technology into our workflow has increased the number of AAA patients, improved long-term follow-up, and greatly reduced the time to appointment and intervention. This technology has truly bridged the gap between radiologic findings and patient care, allowing us to provide timely and effective treatments.”
According to Aidoc, the aiOS technology leverages AI for detecting and managing coronary artery calcifications, aortic aneurysms, brain aneurysms, and other conditions that are often missed or not routed for appropriate care.
The company stated that the aiOS platform harnesses imaging-and text-based solutions to enhance the identification and awareness of various medical conditions and connect patients to specialty clinics. It integrates with electronic health records and uses text-based AI to create a comprehensive view of each patient’s health while pinpointing patients who require follow-up care. The patient management solution automatically categorizes and sorts patients by specific findings into relevant clinics. For instance, aortic aneurysm patients are directed to vascular clinics and brain aneurysm patients are directed to neurointerventional clinics.
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