Chen Sagiv, PhD, is the Co-founder and Co-CEO of DeePathology, which provides AI solutions for digital pathology. She is also the Co-founder and Co-CEO of SagivTech Ltd., a firm dedicated to image processing, computer vision, and GPU computing. Through her work, Chen empowers pathologists with AI tools to enhance diagnostic accuracy and efficiency.
The rapid advancements in artificial intelligence are transforming industries, but in healthcare, the stakes are especially high. Physicians, researchers, and entrepreneurs grapple with using AI to enhance diagnostics and treatment without replacing human expertise. How can AI improve efficiency and accuracy while preserving the critical role of medical professionals?
AI-driven medical imaging expert Chen Sagiv explains that AI's primary function in healthcare should be augmentation, automating tedious tasks, and improving diagnostic precision while ensuring human expertise remains central. Deep learning models can analyze pathology slides with remarkable accuracy, aiding in early disease detection. Beyond diagnostics, AI's predictive capabilities can accelerate preventative medicine, helping identify at-risk patients before symptoms arise. By integrating AI into healthcare, professionals can make faster, more informed decisions to improve patient outcomes.
In this episode of Transaction Healthcare, Zak Eisenberg interviews Chen Sagiv, Co-founder and Co-CEO of DeePathology and SagivTech Ltd., about the evolving role of AI in medical diagnostics. Chen shares how pursuing a PhD in mathematics and physics led her to entrepreneurship, the ethical considerations of automation, and how AI can expand access to high-quality healthcare worldwide.
