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Aidoc
About Aidoc
Aidoc builds healthcare AI software for clinical decision support, radiology workflows, care coordination and hospital AI operations.
People & hiring
Company scale, with the denominator visible
Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.
ApplyDjinn hiring evidence · current 30-day window
Explore these jobs →Current open roles
Change versus 2026-10-07.
Technical open roles
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
Live vacancy evidence
Technology coverage at Aidoc
Coverage always uses all 5 active roles as the denominator. Scope only changes which requirement signals count.
- Active roles
- 5
- Technologies
- 6
- Hard mentions
- 5
- Core
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- Required
- 100%
- Context
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- Nice
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Curated company stack
Company-level metadata, kept separate from live vacancy requirements.
Perks & Benefits
Company Details
Industry
Healthcare AI
Company size
500+
Headquarters
Tel Aviv, Israel
Founded
2016
Domain
aidoc.com
Rating
—
Open roles
5
Technical roles
2 of 5
Observed hiring change
+0 roles
Hiring and market history
Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.
Vacancy history
Current role mix
2 technical · 3 other
40% of currently observed roles are technical.
Employee perspectives
Reviews of Aidoc
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Company monitor
Published about Aidoc
Official updates and independent stories that name Aidoc, with dates and source attribution. Each preview opens here first.
22 Hospitals, One Stroke Network: The Role of AI at the BG Klinikum Unfallkrankenhaus Berlin
Prof. Dr. med. Sven Mutze and Alexander Böhmcker on using AI to support connected stroke care in Germany. What happens when stroke imaging from 22 hospitals arrives fast — sometimes even at the same time — and urgent cases need to be prioritised for radiologist review? At the BG Klinikum Unfallkrankenhaus Berlin (ukb), this is […] The post 22 Hospitals
Open story →22 Kliniken, ein Schlaganfall-Netzwerk: Die Rolle von KI am BG Klinikum Unfallkrankenhaus Berlin
Prof. Dr. med. Sven Mutze und Alexander Böhmcker über den Einsatz von KI zur Unterstützung einer vernetzten Schlaganfallversorgung in Deutschland. Was passiert, wenn Schlaganfall-Bildgebung aus 22 Kliniken in kurzer Zeit eintrifft – manchmal sogar gleichzeitig – und die dringlichen Fälle für die radiologische Befundung priorisiert werden müssen? Am BG Klinik
Open story →A Routine Scan Revealed a Hidden Threat: How Aidoc Helped WellSpan Health Act Fast for Carolyn
At 82, Carolyn was completing another round of cancer treatment and looking forward to what came next: more time with family, camping trips, community events, and the active life she shares with her husband of 62 years. She has always been someone who keeps moving. “I like to go, go, go,” she said. That mindset […] The post A Routine Scan Revealed a Hi
Open story →How 3 FDA Breakthrough Designations Accelerate Patient Care and Scale Diagnostic AI
Developing clinical and diagnostic AI solutions used to take years, if not decades. That time has a cost. The longer that life-changing solutions stay in development, the smaller the opportunity to help current patients who might’ve had better outcomes. That’s why bringing high-quality, clinically meaningful solutions to market faster is crucial, and is than
Open story →How Leading Health Systems Scale AI Across Service Lines
Many health systems already have some level of AI in place. But oftentimes, the existing AI tools are fragmented — creating more silos, more vendors, more integration work, and more burden than value. To truly scale clinical AI, health systems need to focus on systemwide standardization, including infrastructure, workflow integration, governance, training, a
Open story →Operationalizing Clinical AI: A Path to Clinician Buy-In
In healthcare, using AI solutions can make a life-changing difference for patients. But if clinicians don’t feel comfortable or excited to use the tools, they won’t use them effectively. To get the most value out of clinical AI, clinicians must be able to actively use it in the course of care, trust its output, and […] The post Operationalizing Clinica
Open story →The Future of Rural Healthcare Access Is Expertise at Scale
In many rural communities, seeing a specialist can mean driving hours for an appointment or waiting weeks for care. And as hospitals struggle to recruit clinicians, patients are often left with even fewer options. The challenge won’t ease anytime soon. The Health Resources and Services Administration reports that thousands of communities across the cou
Open story →Solving for distance: How Aidoc is supporting radiology across New Zealand
New Zealand’s healthcare system faces a challenge familiar to many countries with dispersed populations: hospitals don’t always have a radiologist on site, and the specialists who can interpret complex, time-critical scans are often based hours away. For a patient presenting with a possible stroke, pulmonary embolism, or intracranial hemorrhage in a ru
Open story →