Imaging Informatics Clinicians
Imaging Informatics Clinicians are driven by quality to ensure exceptional patient care through consistently excellent imaging and rapid exam analysis. Their role might include crafting and executing an enterprise imaging strategy, fostering efficient systems, while championing the use of informatics to transform healthcare and address health equity disparities. Clinicians often lead projects, secure grants, publish papers, and provide overall administration. They might face challenges with lack of dedicated support and transparent cross-departmental communication.
SIIM is where Clinicians from ALL imaging domains come to find like-minded professionals who thrive on improving health and solving challenges together with informatics. #YouBelongAtSIIM!
Radiologist
Dermatologist
Cardiologist
Neurologist
Pathologist
Nurse
Neuroradiologist
Ophthalmologist
Oncologist
Member Spotlight
Webinars
Webinar
POCUS Has Arrived: Does Your System’s Workflow Need to Catch Up?
Point-of-care ultrasound (POCUS) is transforming clinical workflows, allowing clinicians to make quick, informed decisions at the bedside. But as POCUS…
Webinar
Enhancing Healthcare Workflows with Advanced AI Platforms
AI platforms are transforming the landscape of medical practice by integrating various aspects of healthcare, from diagnostics to treatment planning…
Webinar
Unlocking the Power of Networked Radiology: Enhancing Connectivity and Collaboration in Modern Healthcare
Join us for an engaging webinar, where we delve into the importance of networked radiology in modern healthcare systems. In…
Resources
Resource
Scientific Abstracts from the 2024 Conference on Machine Intelligence in Medical Imaging (CMIMI)
A collection of 73 cutting-edge scientific abstracts that were presented at the 2024 Conference on Machine Intelligence in Medical Imaging…
Resource
SIIM Machine Learning & Research Committees: AI in Imaging Informatics
The SIIM Machine Learning and Research Committees are pivotal in advancing the organization’s strategy to position imaging informaticists at the…
Resource
Medical Centers Tap AI, Federated Learning for Better Cancer Detection
A committee of experts from top U.S. medical centers and research institutes is harnessing NVIDIA-powered federated learning to evaluate the…