AI Integration in Radiology Clinical Practice
- AI Market Space Overview
- How to Choose an AI Solution that Best Fits Your Clinical Practice
- Challenges and Opportunities of AI Integration in Radiology Clinical Practice
Catherine Chintala, PMPDIRECTOR OF OPERATIONS, ONCOLOGY
With over 20 years of experience working in clinical operations at CROs and imaging core labs, Catherine has expertise managing oncology clinical trials from start up to close out. She works closely with Sponsors, designing and implementing processes to meet project timelines while helping to ensure study needs are clearly communicated across key stakeholders. Catherine’s background also includes Sponsor governance, managing KPIs, and standardizing processes for teams and departments to run more efficiently. Drawing upon her experience in a variety of indications and response criteria, Catherine can partner with your team to help make your clinical trial a success.
Suzie Bash, MDNEURORADIOLOGIST & MEDICAL DIRECTOR AT RADNET
Dr. Bash is a Neuroradiologist and a Medical Director at RADNET. Prior to this she was on the faculty at UCLA as an Assistant Professor of Neuroradiology. Dr. Bash’s passion and interests lie in Artificial Intelligence applications in advanced Neuroimaging which add patient-centric value and quality. She is a recurring guest on TV, radio, and podcasts and is actively involved in AI clinical trials, peer-reviewed publications, and AI related educational talks and webinars. Dr. Bash serves on the Medical Advisory Boards of several AI companies. She also serves on the Editorial Board in the AI section for Applied Radiology and is a frequent contributing author to this journal.