Michal Tzuchman Katz

Kahun is a Tel Aviv based med-tech venture that developed a diagnostic clinical reasoning engine. Providing an AI component of medical intelligence for any patient-provider interaction. (Virtual First, Telemedicine and traditional). Outsourcing many of the tasks that require knowledge and experience from healthcare professionals. Our core technology relies on an evidence-based medical knowledge graph (20M+ relations) and an AI engine that utilizes the graph to generate real-time insights. Kahun's virtual intake solution performs a patient interview, capturing the history of present illness (HPI), conducting a systems review (ROS), and generating a concise summary ready for the healthcare provider. Kahun's Medical Knowledge Graph is a unique, highly-connected knowledge base that is designed to model medical knowledge about diseases and their interconnected relations as this information appears in evidence-based literature, modeling both the ontological level and the quantitative, empirical facts. The company has harnessed its clinical reasoning platform to build the chatbot for virtual clinical intake. The goal is not to assess likely diseases based on subjective responses (as symptom checkers do) but to provide a standard, high-quality virtual intake ending with a physician summary which can both save time for the provider and more importantly, standardizes the quality of history taking across all patient-physician encounters. It can also reduce the likelihood of anchoring, human bias, or missing important clues which many times result in costly late or misdiagnosis. References to our research and collaborations: NEJM Healer collaborates with med-tech start-up to enhance teaching and assessing clinical reasoning: https://knowledgeplus.nejm.org/press/nejm-healer-collaborates-with-med-tech-start-up-to-enhance-teaching-and-assessing-clinical-reasoning/ Assessing the Performance of a New Artificial Intelligence-Driven Diagnostic Support Tool Using Medical Board Exam Simulations: Clinical Vignette Study: https://medinform.jmir.org/2021/11/e32507/ Contact me directly for more info.