Webinars

The Balancing Act Between Easy Data Access for End Users vs. Enterprise Security SIIM22 Replay

Listen to the Society of Imaging Informatics in Medicine (SIIM) annual meeting recorded replay session on artificial intelligence (AI), enterprise imaging, and cybersecurity. In this session, Florent Saint-Clair examines the Artificial Intelligence (AI) adoption journey from the vantage point of the IT professionals who are expected to deploy it, while also preserving the integrity of the Enterprise.
The Balancing Act Between Easy Data Access for End Users vs. Enterprise Security SIIM22 Replay

Artificial Intelligence (AI) on Tap Lunch and Learn RSNA21 Replay

The tsunami of Artificial Intelligence (AI) and Machine Learning (ML) models that has been assailing medical image diagnostics professions for years can no longer be ignored, nor can AI in medical imaging be viewed as a temporary trend. Although some algorithms are still in their infancy, many others have received FDA clearance and are making meaningful impacts within clinical workflows. Listen to the Lunch and Learn recorded replay to learn about the impact of AI and ML from various perspectives: device startup, practicing radiologist, teaching radiologist, enterprise IT operations and security, and enterprise workflow software.
Artificial Intelligence (AI) on Tap Lunch and Learn RSNA21 Replay

More Data, Now What? SIIM21 Tech Chat Webinar

In the case of data, more is definitely more, however, more data inherently brings more questions. How will the shared data be collected? Are there any incentives for standardizing the data? Whose data is more meaningful? In this SIIM 2021 Annual Meeting roundtable discussion Dmitriy Tochilnk, President and CTO, Dicom Systems and Boris Zavalkovskiy, ENT Director, IT Software Architecture at Envision Health discuss driving AI ready data adoption and the current challenges associated with all things data.
More Data, Now What? SIIM21 Tech Chat Webinar

Time for AI to Deliver: Machine Learning for Emergency Radiology Webinar

In September of 2020, Florent Saint-Clair, Executive Vice President of Dicom Systems and Dr. Peter Chang, Neuroradiologist and co-founder of Avicenna.ai discussed how machine learning has been applied to emergency radiology and the pathology of COVID-19.
Time for AI to Deliver: Machine Learning for Emergency Radiology Webinar

Optimizing Teleradiology Workflows Webinar

In February of 2020, Florent Saint-Clair, Executive Vice President of Dicom Systems and Dr. Gautam Agrawal CIO and co-founder of Vision Radiology discussed how an integrated enterprise imaging platform is a value-add to radiologic image interpretation and has substantially reduced the time and cost to deploy new sites onto the Vision network.
Optimizing Teleradiology Workflows Webinar

Validating AI in Healthcare Webinar

How can organizations ensure their machine learning algorithms are clinically relevant? In this webinar Florent Saint-Clair, Executive Vice President of Dicom Systems and Dr. Alan Pitt, M.D., Neuroradiologist at the Barrow Neurological Institute discuss the process of operationalizing an algorithm in live clinical workflows. Dr. Pitt’s checklist can help assess artificial intelligence (AI)-related products for clinical relevance.
Validating AI in Healthcare Webinar

Integrating Mobile Into Medical Imaging Workflows Webinar

While the era of mobile healthcare has arrived, market awareness for adoption is just beginning to shift from being device-centric to enterprise solution-driven. In this webinar, Florent Saint-Clair, Executive Vice President of Dicom Systems, Manabu Tokunaga, CEO and Co-founder, WinguMD, and Dr. Nolan Altman, Pediatric Neuroradiologist and Chief, Department of Radiology at Nicklaus Children’s Hospital discuss the case for radiology workflow integration as the next frontier in mobile.
Integrating Mobile Into Medical Imaging Workflows Webinar

Optimizing Enterprise Imaging Data Flow Webinar

Historically, healthcare enterprises have managed multiple fragmented systems for internal radiology versus external imaging workflows, such as cloud image sharing and teleradiology. In 2018, Life Image and Dicom Systems announced a strategic partnership that would help hospital and health systems dramatically reduce arbitrary barriers impeding information sharing and data flow, delivering faster results for improved patient care
Optimizing Enterprise Imaging Data Flow Webinar

De-Identification of Medical Images for AI and Machine Learning Webinar

Cross-disciplinary research needs data sharing to assure its clinical validation. Can healthcare organizations avoid breaching HIPAA privacy rules and remove complex DICOM data objects? How can sensitive data like social security numbers, zip codes and the like be obscured, leaving raw data for research purposes? This webinar details the requirements for complying with the HIPAA Privacy Act and how to construct a clean data pool for research consumption.
De-Identification of Medical Images for AI and Machine Learning Webinar

Enterprise Imaging Performance Benchmarking Webinar

Systems performance is an effective way to benchmark the value of your Enterprise Imaging workflows. In this webinar, Dmitriy Tochilnk, President and CTO, Dicom Systems and Trevor Walker, Principal Systems Analyst, Stanford Health Care cover strategies for evaluating IT imaging with real, measurable impact on network performance, clinical workflow, and connectivity.
Enterprise Imaging Performance Benchmarking Webinar

Practical Ways to Optimize Your Enterprise Imaging Technology Stack Webinar

What incremental changes you can make to your imaging infrastructure to solve these common challenges and have a real, measurable impact on network performance, clinical workflow, and connectivity. In this webinar Florent Saint-Clair, Executive Vice President of Dicom Systems and Chris Radi, Senior Vice President, Information Technology at Foundation Radiology Group discuss practical ways to optimize your enterprise imaging technology.
Practical Ways to Optimize Your Enterprise Imaging Technology Stack Webinar