How Can Technology Slow the Global Rise of Neurodegenerative Diseases? (1/3)
Healthcare PerspectivesShow Notes
The number of people affected by neurodegenerative diseases is expected to rise significantly in the coming years. This is due to a combination of factors such as an increase in the aging population, and lifestyle choices, among others. The task of detecting, treating, and studying brain health issues has brought together the fields of science and technology. They are working to see how tech devices such as wearables, mobile phones, and apps can be used in the fight against these diseases.
Today, Lance Ladic, Siemens Healthineers’ Director of Strategic Innovation is joined by three guests - Claire Mackay, Professor of Imaging Neuroscience, University of Oxford; Dr. Nicolò Zarotti, Trainee Clinical Psychologist at Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) and former Research Associate at Lancaster University; and Dr. Andy Saykin, Professor of Radiology and Imaging Sciences at Indiana University School of Medicine in Indianapolis. They’ll help understand how technology is being used to slow the rise of neurodegenerative diseases.
Stay tuned to learn about the current methods of detecting neurodegenerative diseases and what they involve. You’ll also hear about the important role that wearable devices are playing in the field of brain health. Additionally, you’ll learn about what the medical profession is doing to prepare for an increase in the number of patients.
Note: Nicolò Zarotti's responses and interventions in this episode are based on his work as a researcher and are not intended as clinical advice.
What You’ll Learn in This Episode: Factors that influence people’s ability to preserve brain health (02:33) The different types of technology that are available for detecting brain health issues (04:08) How wearable technologies can help in detecting cognitive decline (06:22) How social and global changes impact neurodegenerative diseases detection and treatment (08:19) Non-lifestyle factors increasing the risk of neurodegenerative diseases (15:49) How the medical profession can be prepared to handle increased brain health cases (17:54)
Connect with Andrew Saykin: LinkedIn Connect with Clare Mackay: LinkedIn Connect with Nicolò Zarotti: LinkedIn Connect with Lance Ladic: LinkedIn Hosted on Acast. See acast.com/privacy for more information.
More from Healthcare Perspectives
In this episode of Healthcare Perspectives, host Isabel Nieto Alvarez, PhD, an expert for patient experience at Siemens Healthineers, is joined by Maria Bernathova, MD, breast radiologist and generative AI specialist, and Caroline Justich, breast cancer patient advocate and founder of the patient support initiative Be Accepted. Together, they discuss how better communication — and the responsible use of AI — could help patients feel more informed, involved, and supported throughout their care.
Across the globe, chronic kidney disease, diabetes, cardiovascular disease, and obesity continue to place a growing burden on healthcare systems. Many of these conditions develop silently, often remaining undetected until significant damage has already occurred.
Healthcare systems around the world are under increasing pressure to reduce their environmental footprint without compromising access to care, quality, or patient safety. One often overlooked opportunity is the refurbishment of imaging systems. By giving imaging systems a second life, healthcare providers can help preserve resources while continuing to deliver clinical performance.
Across the globe, radiology departments are grappling with a paradox: imaging volumes are climbing while the trained workforce needed to operate scanners is shrinking. Using AI-driven tools, a drive towards fully-automated radiology promises faster diagnoses, greater diagnostic accuracy, and more efficient workflows, improving both the patient and clinician experience. It is rapidly transforming the way medical imaging is performed, analyzed, and integrated into imaging workflows.
Medical imaging is already an integral part of modern healthcare, but as hospitals face growing imaging demand and staffing challenges, new solutions using artificial intelligence have become an effective way to help ease the load.