Kahun

by Kahun  · Based in Israel → — AI-powered clinical reasoning platform that helps healthcare professionals assess patients by providing ranked differential diagnoses and workup options based on patient input and medical knowledge, ultimately improving decision-making and patient outcomes.
Family Medicine Hospital Medicine Internal Medicine
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Overview

Kahun is an AI-powered clinical reasoning tool designed to assist physicians in making more accurate and efficient diagnostic and treatment decisions. It leverages a vast, continuously updated medical knowledge base to provide evidence-based insights at the point of care. By analyzing patient data and symptoms, Kahun generates differential diagnoses, suggests relevant tests, and offers treatment recommendations, aiming to reduce diagnostic errors and improve patient outcomes.

The platform is built to integrate seamlessly into existing clinical workflows, offering a user-friendly interface that allows physicians to quickly input patient information and receive actionable insights. Kahun’s algorithms are trained on millions of medical articles, clinical guidelines, and patient cases, ensuring that its recommendations are current and comprehensive. This makes it a valuable resource for both experienced practitioners seeking to validate their reasoning and residents looking to expand their diagnostic skills.

Kahun emphasizes its commitment to data security and privacy, stating HIPAA compliance and offering EMR integration capabilities. This ensures that patient data is handled with the utmost care while allowing for a streamlined flow of information between Kahun and a clinic’s electronic health record system. The tool is designed to augment, not replace, clinical judgment, providing a powerful second opinion that can enhance diagnostic confidence and efficiency in a busy clinical setting.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered differential diagnosis
  • Evidence-based treatment recommendations
  • Relevant test suggestions
  • Continuously updated medical knowledge base
  • EMR integration capabilities
  • User-friendly interface
  • HIPAA compliant
  • Clinical reasoning support

Use Cases

  • Assisting with complex diagnostic cases
  • Providing a second opinion for treatment plans
  • Educating medical residents and students
  • Reducing diagnostic errors
  • Streamlining clinical workflows
  • Accessing up-to-date medical information

What Physicians Need to Know

Evidence Base
Kahun's AI engine is built upon a proprietary knowledge graph containing over 30 million evidence-based medical insights derived from peer-reviewed medical publications and sources. It mimics the clinical reasoning of trained physicians. The system provides original sources used by the algorithm.
Clinical Validation Studies
Kahun's diagnostic performance was tested against 91 clinical cases from the United States Medical Licensing Examination Step 2 Clinical Skills. It suggested 231 out of 272 expected diagnoses within the top 20, 209 within the top 10, and 168 within the top 5. Another study in the International Journal of Medical Informatics found Kahun's patient chatbot to be the most efficient among eight chatbot symptom-checkers for data gathering, with the highest recall rate of pertinent case findings. A recent retrospective cohort study (2022-2023) showed that in 90% of sessions, both physicians and Kahun suggested at least one identical disorder, with a 72% total accuracy rate.
Differential Diagnosis Support
Kahun's AI engine generates a ranked list of potential differential diagnoses and suggests further workup options based on patient input and its knowledge graph. It aims to reduce cognitive burden on physicians and standardize care. The system provides a clinical summary including suggested differential diagnoses and next steps.
Guideline Update Frequency
Kahun continuously updates and improves its knowledge graph, which contains millions of relationships between disorders, complications, and findings. This ensures that clinical reasoning is based on the latest medical knowledge.
Clinical Workflow Integration
Kahun integrates with Electronic Medical Records (EMR) to enhance diagnosis and decision-making processes. It can also be integrated into pre-visit virtual clinical assessments. The platform aims to become an integral part of a doctor's workflow, saving interview and documentation time.
Decision Audit Trail
Kahun's AI is described as 'explainable AI,' providing the reasoning for a diagnosis, which is crucial for trust and adoption by doctors. The system provides original sources used by the algorithm. In general, an effective AI decision audit trail should record model versions, input data, and prediction confidence scores, linked to the clinical record.
Physician Tip

Leverage Kahun's AI as a 'second opinion' to reduce diagnostic errors and cognitive burden. Utilize the patient chatbot for pre-clinical assessments to save time and ensure comprehensive symptom capture. Review the provided reasoning and source links to build trust and deepen understanding of the AI's suggestions. Integrate Kahun into your workflow to streamline differential diagnosis and workup planning, allowing more focus on patient treatment plans.

Kahun integrates with EMR systems to improve diagnosis and decision-making. Its patient chatbot has been integrated into acute-care telemedicine services and cloud-based practice management solutions. Kahun also partners with the New England Journal of Medicine to provide content for their medical simulation tool, Healer. While other Kahuna products (not Kahun.com) integrate with various HRIS, LMS, and other business applications, these are not directly relevant to Kahun's clinical decision support tool.

Details

Category Clinical Decision Support & Reference
Pricing Subscription
  • Kahun offers a subscription model for continuous access to its AI platform
  • Pricing model seems unclear but opportunities include pricing per customer chat or a monthly subscription per doctor
DeploymentKahun integrates with EMR systems.
Mobile AppYes
API Available Yes
Data Export Yes
Training Yes
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Unknown AI-estimated

Kahun would need to adhere to a stringent regulatory framework, including obtaining necessary approvals and clearances to ensure its AI-based medical assistance platform meets established standards for safety and effectiveness.
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

Social Proof

Customersunknown
Notable
New England Journal of Medicine (powers NEJM Healer)MediOrbisInfomedHelix Virtual MedicineTel Aviv Sourasky Medical Center.

Support & Reliability

Training Provided Yes

Ratings & Reviews

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Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

Ctech
Kahun secures $8 million for its 'XAI' engine for clinical reasoning
Kahun, a company providing an evidence-based clinical reasoning tool for physicians, raised $8 million in a seed funding round, bringing its total funding to $13 million. The company's AI engine uses a proprietary map of over 30 million medical insights to assist with diagnosis and treatment.
2022-09
Globes English
AI-based clinical assistant Kahun raises $8m
Israeli AI-based clinical assistant Kahun completed an $8 million seed financing round, totaling $13 million raised to date. Unlike other AI tools, Kahun's algorithm is based on professional medical literature, creating a map of 30 million connections to represent medical knowledge.
2022-10
Hiequity.ai
The future is here, and it's named Kahun
Kahun has secured $10.6 million in cumulative funding, with its latest seed round closing in September 2022. The company's proprietary AI algorithms and focus on natural language processing (NLP) are central to its competitive edge in healthcare technology, aiming to improve diagnostic accuracy and patient care.
2023-11
The Jerusalem Post
Kahun: Bridging medical knowledge and patient care
Kahun's new AI Agent is designed to revolutionize healthcare by providing real-time, patient-specific medical insights, helping doctors stay updated on pharmaceutical developments and improving patient care. The technology structures medical knowledge for reliable AI use, now extending its influence to the pharmaceutical market.
2024-09
Business Wire
Kahun Secures $8M Round for its 'XAI' Engine for Clinical Reasoning
Kahun announced an $8 million seed funding round to further develop its AI-powered, evidence-based clinical reasoning tool. The company aims to expand its map of medical knowledge and go-to-market efforts for telemedicine organizations, building on its partnership with the New England Journal of Medicine.
2022-09
MediOrbis
MediOrbis Partners with Kahun to Offer Artificial Intelligence Powered Digital Intake and Triage Services
MediOrbis, a multi-specialty telehealth company, is partnering with Kahun to integrate its AI-driven digital intake tool into its telehealth platform. This collaboration aims to streamline telehealth visits, engage patients, and assist providers by offering valuable clinical information prior to patient encounters.
2022-12
PubMed (International Journal of Medical Informatics)
The Potential of Evidence-Based Clinical Intake Tools to Discover or Ground Prevalence of Symptoms Using Real-Life Digital Health Encounters: Retrospective Cohort Study
A study published in the International Journal of Medical Informatics evaluated Kahun's evidence-based clinical intake tool (ECBIT) for its ability to gather and analyze patient information. The study concluded that ECBITs like Kahun encompass extensive medical knowledge and can serve as a reliable database for inferring medical insights and diagnoses.
2024-07
CORDIS (European Commission)
Taking smart diagnostic support tools to the next level
The EU-funded Kahun project has developed AI-driven diagnostic support tools that mimic the clinical reasoning of trained physicians to minimize misdiagnosis. An initial app, released in early 2021, has been used by approximately 7,000 clinicians, and Kahun has partnered with the 'New England Journal of Medicine'.
2022-12

Videos

Product demos, reviews, and walkthroughs for Kahun.

View all on YouTube

Frequently Asked Questions

Kahun is a clinical decision support (CDS) tool designed to assist physicians in their diagnostic and treatment processes. It integrates by providing evidence-based insights and differential diagnoses, often accessible through a web interface or potentially via API integration with electronic health records (EHR) systems, aiming to complement rather than disrupt your current workflow.
Kahun bases its recommendations on a vast knowledge base derived from medical literature and guidelines, employing advanced AI to synthesize information. While designed for accuracy, it's crucial to remember that Kahun is a support tool, and its recommendations should always be critically evaluated in conjunction with your clinical judgment and patient-specific factors. Its limitations include reliance on available data and the inability to account for nuances not captured in its algorithms.
Kahun is designed with patient data privacy in mind, adhering to regulations like HIPAA and GDPR. It typically processes de-identified or anonymized data for its algorithms and does not store protected health information (PHI) unless explicitly configured and consented to within a secure, compliant framework. Physicians should verify Kahun's specific data handling policies and their organization's compliance agreements.
Kahun differentiates itself from other CDS systems through its advanced AI capabilities, aiming to provide more dynamic and comprehensive differential diagnoses and treatment suggestions. Compared to traditional methods like manual literature searches, Kahun offers rapid access to a vast amount of synthesized medical knowledge, potentially reducing diagnostic time and improving accuracy. Its unique advantages often lie in its ability to quickly process complex patient data and suggest less common diagnoses.
The pricing model for Kahun typically varies based on the scope of use and the size of the adopting entity. There are often different subscription tiers, which may include options for individual practitioners, small clinics, or large hospital systems, with pricing structures that could be per-user, per-access, or enterprise-wide. Specific details on pricing and available tiers would need to be obtained directly from Kahun or its authorized distributors.
Kahun typically offers comprehensive training and onboarding programs to ensure physicians can effectively integrate the tool into their practice. This may include tutorials, webinars, user guides, and direct support from their customer success team. Ongoing support often involves technical assistance, regular updates to the platform, and access to resources for continuous learning and optimization of its use.
Kahun often offers a degree of customization to better suit specific medical specialties or individual physician preferences. This might include tailoring the knowledge base to emphasize certain conditions or guidelines relevant to a particular field, or allowing users to adjust the weighting of certain factors in diagnostic algorithms. The extent of customization can vary and is typically detailed by Kahun's product specifications.

Compare Kahun

VS
OpenEvidence vs Kahun
Clinical Decision Support & Reference Direct · 85/100
OpenEvidence and Kahun are highly comparable as both offer AI-powered clinical decision support for physicians, focusing on evidence-based insights. OpenEvidence emphasizes immediate, referenced answers from literature and documentation…
VS
Heidi Health vs Kahun
Clinical Decision Support & Reference Adjacent · 65/100
Heidi Health and Kahun are adjacent tools in the healthcare AI landscape. Heidi Health primarily focuses on automating clinical documentation and patient communication, acting as an AI medical…
VS
eCARTv5 Clinical Deterioration Suite (“eCART”) vs Kahun
Clinical Decision Support & Reference Adjacent · 65/100
Tool A (eCARTv5) is an FDA-cleared AI that continuously assesses and predicts clinical deterioration in hospitalized patients, guiding care with embedded clinical pathways. Tool B (Kahun) is an…
VS
ChatGPT vs Kahun
Clinical Decision Support & Reference Adjacent · 75/100
While both ChatGPT for Healthcare and Kahun offer AI-powered support for healthcare professionals, their primary focus areas differ. ChatGPT for Healthcare provides a broader range of general-purpose AI…

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Suggest an Edit → | Last Verified: 2026-08-23 | First Added: 2026-08-23
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