About Kaun AI
Bridging AI, Medicine, and Research with Ethical Innovation
Kaun AI is dedicated to building a globally connected, ethically grounded, and interdisciplinary ecosystem where artificial intelligence drives progress in medicine, science, and education – especially in underserved regions.
Our mission is to unite physicians, researchers, engineers, and strategists to co-create AI solutions that address real-world challenges while fostering cross-regional collaboration and knowledge exchange.
- Responsible AI tools tailored for healthcare.
- Cross-regional collaboration for real-world impact.
- Supporting learning, research, and innovation.
Active Collaborators
Partner Institutions
Ongoing Projects
What We Offer
Kaun AI revolutionizes medical education, research, and clinical practice through purposeful and ethical AI solutions. By bridging technology, medicine, and global expertise, we create real-world impact – from intelligent diagnostic tools to transformative learning platforms. As a global ecosystem, Kaun AI fosters international collaboration, translates cutting-edge research into clinical innovation, and advances sustainable, human-centered healthcare.
Real-World Impactful Research
Translating AI innovation into measurable progress for patients and practitioners.
Cross-regional Collaboration
Connecting experts across geographies to co-create impactful solutions.
Educational Tools & Resources
Providing accessible learning platforms for AI in medicine and research.
Responsible AI Development
Ensuring ethical practices and inclusivity in AI-driven innovations.
AI Solutions for Healthcare
Tailored AI tools addressing clinical challenges and enhancing patient care.
Research Projects
Kaun AI is dedicated to impactful research at the intersection of AI and medicine.
LLM Comparison in Bladder Cancer
Assessing large language models in clinical decision support for bladder cancer management.
This project evaluates various AI models like ChatGPT and Claude to interpret clinical data, assisting in diagnosis and treatment planning, enhancing urological care through AI-driven insights.
AI Model for Adrenal Mass Assessment
AI-powered texture analysis of CT scans for accurate adrenal lesion classification.
The model aids clinicians by differentiating benign from malignant adrenal masses, optimizing surgical decision-making and reducing unnecessary procedures through data-driven diagnostics.
Urology Training Application
Interactive educational platform to enhance surgical skills and clinical knowledge.
The application offers modules, case studies, and simulations to support urology residents in improving their expertise, leveraging modern technologies for a better learning experience.
Pediatrics
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Ophthalmologists
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Our Team
Meet the people driving innovation, research, and impact at Kaun AI.
Dr. med. Mohammed Alfarra
Founder and Director board-certified urologist with clinical expertise spanning endourology, oncology, transplantation, and hospital management. He combines deep medical experience with a strong research focus on AI integration in diagnostics and decision-making. Trained in Germany and Egypt, with stations at leading urology departments including Tübingen, Dresden, and Mansoura, he brings both academic rigor and international perspective.
Dr. med. Maria Roth
Internal Medicine & Psychosomatic Care, Charité Berlin Liaison Officer for Academic, Clinical and Psychosomatic Relations.
Zoe Junginger
Strategic Research Coordinator (AI & Medicine) biomedical scientist and PhD candidate at the University Medical Center Hamburg-Eppendorf (UKE), specializing in immunology and translational research. With a strong interest in artificial intelligence and medical innovation, she bridges the gap between life sciences and data-driven technologies.
Dr. Yahya Hossam
medical doctor specializing in urology at the Urology and Nephrology Center of Mansoura University in Egypt He possesses recognized expertise in urological surgery and has been an early contributor to Kaun AI, deeply involved in translational coordination efforts.
Aysha Al-Astal
leads Kaun AI’s social media strategy, crafting impactful content that bridges complex scientific ideas with a global audience. Her creative direction ensures our mission is communicated with clarity and resonance across digital platforms.
Dr. Mahmoud Hammad
ENT Surgeon | Medical Advisor | Innovation Strategist Mahmoud is a board-certified ENT specialist with years of clinical experience in Germany. At Kaun AI, he brings his passion for medical innovation and his expertise in interdisciplinary care to explore AI-powered solutions in ENT and beyond.Dr. Oussama Metrouh
M.D., is a Research Fellow in Interventional Radiology at Beth Israel Deaconess Medical Center, affiliated with Harvard Medical School. His expertise in simulation-based training and motion analysis enhances Kaun AI’s clinical education and innovation initiatives.Dr. med. Mohammed Alfarra
Founder and Director Visionary leader with a bias for action and deep strategic focus. Dedicated to building a global AI ecosystem rooted in medicine, science, and impact.Dr. med. Maria Roth
Internal Medicine & Psychosomatic Care, Charité Berlin Liaison Officer for Academic, Clinical and Psychosomatic Relations.Dr. med. Maria Roth
Internal Medicine & Psychosomatic Care, Charité Berlin Liaison Officer for Academic, Clinical and Psychosomatic Relations.Dr. Yahya Hossam
medical doctor specializing in urology at the Urology and Nephrology Center of Mansoura University in Egypt He possesses recognized expertise in urological surgery and has been an early contributor to Kaun AI, deeply involved in translational coordination efforts.Dr. Chen Liang
Orthopedic surgeon and academic clinician with expertise in surgical innovation and interdisciplinary implementation.Dr. Mulham Al-Nader
Assistant Physician in Urology, University Hospital Essen (Germany) Researcher with publications in urologic oncology, minimally invasive surgery, and robotic-assisted procedures.
Dr. Ahmed Souqia
Dermatologist | Medical AI Enthusiast | Clinical Integration AdvisorDr. Arthur Stötzner
Medical Contributor, Kaun AI Arthur Stötzner is a urology resident at Vivantes Klinikum in Berlin.
Dr. Mohammed Alqedra
Co-Founder and Scientific Strategy Lead PhD in Atomic Physics, Lund University (Sweden) Postdoctoral Researcher at KTH Royal Institute of Technology, Stockholm Academic background in quantum systems, optics, and high-level algorithmic modeling.
Zoe Junginger
Strategic Research Coordinator (AI & Medicine) biomedical scientist and PhD candidate at the University Medical Center Hamburg-Eppendorf (UKE), specializing in immunology and translational research. With a strong interest in artificial intelligence and medical innovation, she bridges the gap between life sciences and data-driven technologies.
Dr. Oussama Metrouh
M.D., is a Research Fellow in Interventional Radiology at Beth Israel Deaconess Medical Center, affiliated with Harvard Medical School. His expertise in simulation-based training and motion analysis enhances Kaun AI’s clinical education and innovation initiatives.
Dr. Hossam Badr
Pharmacist | Regenerative Medicine PhD Candidate in Mansoura | AI in Healthcare Enthusiast .Our software team consists of agile developers and product thinkers with backgrounds in medical informatics, machine learning, and scalable systems. They turn ideas into intuitive, high-impact applications – with a shared passion for responsible innovation and a user-centered mindset. Profiles of individual contributors will be added shortly.
Our engineering team brings together system architects, AI engineers, and creative problem-solvers with expertise in data infrastructure, automation, and human-AI interfaces. They design robust foundations for our tools, ensure technical scalability, and collaborate closely with medical and scientific teams to turn complex challenges into elegant solutions. Profiles of individual contributors will be added shortly.
Prof. Dr. Yasser Mohamed Osman Shahin
Professor of Urology and Consultant Renal Transplant Surgeon Urology & Nephrology Center, Mansoura University, Egypt Shahin is a distinguished urologist with extensive experience in renal transplantation and uro-oncology. As a professor at the Urology & Nephrology Center of Mansoura University, he has been instrumental in advancing surgical techniques and training programs in the region. His expertise provides invaluable guidance to Kaun AI’s initiatives in medical AI applications.
Dr. Said Matr
Coordinator, Engineering Team Dr. Said Matr is an Assistant Professor in Innovation Management and Strategy at the University of Groningen. He holds a Ph.D. in Business and Finance from Universidad Carlos III de Madrid. With research interests spanning innovation management, R&D strategy, markets for technology, and decision models, he brings a unique interdisciplinary perspective to Kaun AI.Join Us
Be part of a globally connected initiative at the intersection of AI, medicine, and education.
Collaborate With Us
We welcome partnerships across academia, research, and technology to co-create impactful solutions.
Kaun AI – Whitepaper & Executive Brief
Here you can find our most important foundational documents:
– Whitepaper: Discover the foundation of our mission, strategy, and responsible AI framework.
– Executive Brief: A compact summary crafted for partners and strategic allies.
Blog & Updates
Stay informed with insights from the intersection of AI, medicine, and global innovation.
COOMING SOON .. .
Contact
Address
Kaun AI gGmbH, An der Kolonnade 11-13, 10117 Berlin
Call Us
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Email Us
info@kaunai.org