About Us
The amount of medical information out there is simply too massive to navigate properly. With 30 million PubMed articles and the number grows daily, physicians need help finding and retrieving what is relevant to the person under care. Kahun is dedicated to harnessing the power of technology to drive better medical understanding and practice.
About Us
The amount of medical information out there is simply too massive to navigate properly. With 30 million PubMed articles and the number grows daily, physicians need help finding and retrieving what is relevant to the person under care. Kahun is dedicated to harnessing the power of technology to drive better medical understanding and practice.
Diagnose with confidence.
We help you consider all the options for differential diagnosis and patient workup. Kahun’s strength lies in its ability to connect clinical decision-making with text-based research publications in a way that is fast and accessible.
Backed up by reasoning.
Kahun brings updated, integrated medical knowledge to doctors in the field in an intuitive, actionable way that could never be achieved through text-based tools. Our unique platform is continuously being updated to integrate knowledge from across the medical literature and epidemiologic databases.
Using evidence-based
clinical knowledge.
The Kahun knowledge graph holds information for thousands of diseases and findings. Our proprietary AI engine generates and infers from complex variants of large Bayesian networks that link diseases, findings, complications, risk factors, causal information, and statistics—all based on the most up-to-date medical information.
Diagnose with confidence.
We help you consider all the options for differential diagnosis and patient workup. Kahun’s strength lies in its ability to connect clinical decision-making with text-based research publications in a way that is fast and accessible.
Backed up by reasoning.
Kahun brings updated, integrated medical knowledge to doctors in the field in an intuitive, actionable way that could never be achieved through text-based tools. Our unique platform is continuously being updated to integrate knowledge from across the medical literature and epidemiologic databases.
Using evidence-based clinical knowledge.
The Kahun knowledge graph holds information for thousands of diseases and findings. Our proprietary AI engine generates and infers from complex variants of large Bayesian networks that link diseases, findings, complications, risk factors, causal information, and statistics—all based on the most up-to-date medical information.
Our Team
Kahun’s multidisciplinary team is a fusion of accomplished medical professionals and technical experts. Our specialists in computational algorithms have proven experience building world-renowned large-scale platforms.
Michal Tzuchman Katz MD
Chief Medical Officer
Eitan Ron
Tal Goldberg
Joseph Mermelstein
Shahar Ovadia
Yossi Lev
Chen Cozocuro
Max Shlomovitz
Avi Gurfinkel
Efrat Erps Kozak
Orly Semo
Jonathan Glazer MD
Roee Massad
Gal Azulay
Tomer Weizman
Niv Ben Shabat
Avigail Rotem
Michal Tzuchman Katz MD
Co-founder and
Chief Medical Officer
Eitan Ron
Co-founder and CEO
Tal Goldberg
Co-founder and CTO
Joseph Mermelstein
Head of Technology
Shahar Ovadia
Senior Data Scientist
Yossi Lev
Senior Software Engineer
Chen Cozocuro
Senior Software Engineer
Max Shlomovitz
Senior Frontend Developer
Avi Gurfinkel
Senior Frontend Developer
Efrat Erps Kozak
Product Manager
Orly Semo
Finance Manager
Jonathan Glazer MD
Emergency Medicine Specialist
Roee Massad
Medical Product Specialist Intern, BSc. BGU Medical School
Gal Azulay
Medical Product Specialist Intern, BSc. BGU Medical School
Tomer Weizman
Medical Product Specialist Intern, BSc. Technion Medical School
Niv Ben Shabat
Medical Product Specialist Intern, BSc. TAU Medical School
Avigail Rotem
Medical Product Specialist Intern, MSc. Technion Medical School
The Story Behind the Name
Where does the name Kahun come from? If you’re wondering about the origins of this strange, yet simple to pronounce word, it comes from one of the first known medical documents in history. Originating in ancient Egypt, the nearly 4,000-year-old Kahun Medical Papyrus was written in hieroglyphics. With advice on various gynecological issues, the text deals with specific problems, the related diagnoses, and recommended treatments.
Before the first ‘Kahun’, ancient medicine was taught and practiced orally, with no documentation. It signified a new era for medical knowledge. Years later, another revolution came along when medical texts could be printed, shared, and referenced. Today, when almost all references have moved to the digital space, we can browse over 30 million medical articles over the internet.
But after 4000 years, medical professionals still need to search through texts to find what they need. This task is becoming more and more difficult as the number of publications grows almost daily.
Kahun is poised to bring about another revolution in the way medical information is shared and accessed. By mapping medical knowledge into a language that algorithms can read, AI can transform how physicians access medical knowledge so they provide better care for their patients. Today, we can discover all the articles and the ways in which a particular finding is connected to different diseases—through immediate, visual access to knowledge.
Because Kahun’s advanced AI algorithms are evidence-driven, physicians can see the clinical reasoning, along with links to the original literature. All suggestions are easily justified and explained in a language that is familiar and understood by physicians. It’s a story of discovery, ready to be rediscovered.
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