Are Radiology Enterprises Prepared to Meet the Growing Demand for Alzheimer Disease Imaging?

Disease-Modifying Therapy, Quantitative Imaging, and AI for Managing Patients with Alzheimer Disease

In this discussion, Dr Tanenbaum and Suzie Bash, MD, a Medical Director at RadNet in Los Angeles, cover the intersection of disease-modifying therapies (DMTs), quantitative imaging, and artificial intelligence (AI) in managing Alzheimer disease.

Molecular Imaging in Alzheimer Disease: The Future is Promising

In this discussion, Dr Tanenbaum, Ana Franceschi, MD, associate professor of radiology at Lenox Hill Hospital, Hofstra/Northwell in New York City; and Adam Samchuck, senior product manager for PET Solutions at Siemens Healthineers, North America, explore the evolving role of molecular imaging in Alzheimer disease (AD) diagnosis, as well as the impact of emerging AD therapeutics.

Are Radiology Enterprises Prepared to Meet the Growing Demand for Alzheimer Disease Imaging?

In this discussion, Dr Tanenbaum, Tammie L.S. Benzinger, MD, PhD, a professor of radiology who serves as chief of MRI service at Mallinckrodt Institute of Radiology at Washington University School of Medicine in  St. Louis, Missouri, and Saurabh Sharma, MBA, a senior director for MR Strategy at Siemens Healthineers, explore whether imaging enterprises are prepared for the expected growth in the demand for brain MR imaging in patients with Alzheimer disease.

A Call to Action: Best Practices for Imaging and Managing Alzheimer Patients

In this discussion Dr Tanenbaum, Suzie Bash, MD, a medical director at RadNet, and Petrice Cogswell, MD, PhD, associate professor of radiology at The Mayo Clinic, Rochester, Minnesota, discussed opportunities and responsibilities facing the neuroradiology community.

Image Storage & Management in Alzheimer Treatment

In this discussion, Dr. Lawrence Tanenbaum and Dr. Osman Ratib, Founder and CEO of Agora Care [https://www.agoracare.ch/en-US/] delve into the challenges of image management and explore how a more patient-centric approach to image storage and management could offer tangible solutions.