Aidoc
AI-Powered Radiology, Real-Time Care Coordination
At Sheba, innovation isn’t theoretical — it’s deployed today, with real results. Aidoc is one of the most advanced examples of Sheba’s Smart Hospital transformation: a comprehensive clinical AI platform that’s seamlessly embedded in emergency care, diagnostics, and follow-up workflows.
Co-founded at Sheba and now used globally, Aidoc uses AI-powered, human-enabled systems to prioritize urgent cases, accelerate diagnosis, and reduce treatment delays — ultimately saving more lives.
From Critical Scan to Life-Saving Action
Aidoc has redefined what AI can do in a hospital setting. Its always-on AI engine processes radiologic scans in real time, flagging urgent findings like intracerebral hemorrhages or pulmonary embolisms and immediately alerting the appropriate physicians on desktop and mobile. Globally, the Aidoc platform has demonstrated significant clinical impact:
medical systems worldwide use Aidoc’s enterprise AI platform
clinical studies validating clinical and operational impact
enhanced triage
days reduction in turnaround time
of patients covered by Aidoc’s AI diagnostic tools
“Companies like Aidoc can help us be better doctors. If we have more knowledge about the diagnosis, we’ll be able to give treatment before. Our work will not be about whoever comes first, gets treated first, but whoever is more important gets treated first.” — Dr. Chen Hoffman, Head of the Neuroradiology Department at Sheba Medical Center
How Aidoc Works at Sheba
Aidoc, co-developed and deployed at Sheba Medical Center, plays a critical role in accelerating diagnostic workflows, improving triage accuracy, and supporting physician decision making in time-sensitive clinical environments.
Fully integrated into Sheba’s radiology and emergency infrastructure, Aidoc analyzes medical imaging, automatically flagging critical findings and notifying the appropriate care teams — often within seconds of a scan being completed.
“Time is life. Aidoc sends the push notification to the relevant doctor wherever they are for treating the problem. When they get it, they can see the patient’s scans and begin streamlining their treatment plan and the necessary intervention immediately.” — Dr. Gal Yaniv, Director of Endovascular Neurosurgery, Sheba Medical Center (Times of Israel)
Aidoc’s AI is used across a wide range of clinical domains at Sheba:

Neurovascular
Detects and triages intracerebral hemorrhages and large vessel occlusions

Cardiothoracic
Supports diagnosis and prioritization of pulmonary embolism cases

Abdominal, breast, and skeletal pathologies
Enables comprehensive multi-system triage

Follow-up management
Flags incidental findings and tracks care across service lines
This smart hospital represents a bold commitment to meaningful impact, transforming advanced infrastructure into better health outcomes for all. Sheba Negev will expand opportunities, reduce health disparities, and make southern Israel a hub for healthcare innovation.
A peer-reviewed clinical study conducted at Sheba demonstrated that the integration of Aidoc into its emergency workflow led to:
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30% reduction in mortality for patients with intracerebral hemorrhage
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Earlier initiation of treatment due to faster AI-supported detection
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Improved discharge outcomes based on Modified Rankin Scale (MRS) scores
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Decreased unnecessary ICU stays and improved care team coordination
At Sheba, Aidoc is not an add-on; it’s an integral part of a smart, connected hospital environment, helping ensure that urgent diagnoses are not delayed, patients are not lost to follow-up, and critical decision is made with the support of real-time, data-driven insights.
“Innovation is about creating innovative solutions, but transformation is about the implementation. This is where we need to actually implement those technologies and change the way our clinicians are practicing care today. That’s much more challenging, but we all understand that one without the other is meaningless.” — Prof. Eyal Zimlichman, Chief Transformation and Innovation Officer, Sheba Medical Center
Case Studies
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