Body Vision Medical
Nadav Altshuler serves as the Research and Development Group Lead and Software and Algorithm Team Lead at Body Vision Medical since June 2018, where responsibilities include leading deep learning research projects for algorithm improvement in tomography imaging and mentoring team members. Prior experience includes a role as Senior NLP R&D at IDF, focusing on natural language processing and optical character recognition applications, as well as a Data Science R&D position involving machine learning projects and statistical analysis. Nadav has also contributed as a Full Stack Developer, developing features across various programming languages and analyzing performance issues. Educational qualifications include a Master of Science in Computer Science from Bar-Ilan University and a Bachelor of Science in Computer Software Engineering from the Technion - Israel Institute of Technology.
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Body Vision Medical
Body Vision Medical eliminates CT-to-body divergence and provides visual confirmation of tool-in-lesion prior to biopsy, while intraoperative CT imaging and enhanced fluoroscopy provide unparalleled control over diagnostic output. They can be a dedicated intraoperative 3D imaging solution for tool-in-lesion confirmation or a standalone navigationalbronchoscopy platform.