Michael B. Braginsky
About Michael B. Braginsky
Michael B. Braginsky serves as the Chief Technology Officer (CTO) at Aidoc Medical, where he has worked since 2015. He holds a Bachelor of Science in Physics and a Master's Degree in Computer Science with a focus on Medical Image Processing from The Hebrew University of Jerusalem.
Work at Aidoc
Michael B. Braginsky serves as the Chief Technology Officer (CTO) at Aidoc Medical, a position he has held since 2015. Based in the Tel Aviv Area, Israel, he has been pivotal in advancing the company's technology to support numerous healthcare facilities worldwide. His leadership has been essential in driving the integration of artificial intelligence into Aidoc's medical imaging solutions, enhancing the capabilities of healthcare professionals in diagnosing conditions.
Education and Expertise
Michael Braginsky earned a Bachelor of Science (B.Sc.) in Physics from The Hebrew University of Jerusalem, where he studied from 2006 to 2009. He furthered his education at the same institution, obtaining a Master’s Degree in Computer Science with a focus on Medical Image Processing from 2014 to 2016. This educational background provides him with a strong foundation in both the theoretical and practical aspects of technology and healthcare.
Background
Michael Braginsky has a background that combines physics and computer science, which informs his work in the medical technology sector. His experience at Aidoc Medical has allowed him to apply his academic knowledge to real-world challenges in healthcare, particularly in the field of medical imaging. His role as CTO has positioned him at the forefront of technological advancements in radiology.
Achievements
Throughout his tenure at Aidoc, Michael Braginsky has played a significant role in developing a platform that aids radiologists in identifying critical conditions in medical images. His contributions have been instrumental in scaling the company's technology and ensuring it meets the needs of healthcare providers globally. His work continues to impact the efficiency and accuracy of medical diagnostics.