ANITHA RAO | CEO and Founder, Neurocern, and Board-Certified Geriatric Neurologist, Department of Neurology,
University of Toledo College of Medicine
MARK WEINDLING | Chief Technology Officer, Neurocern
PAUL RIDGEWAY | Strategy, Chief Financial Officer, Neurocern
LIZ KENNEDY | Project Manager, Neurocern
HARRIS A. EYRE | Chief Medical Officer, PRODEO, and Co-Lead, Neuroscience-inspired Policy Initiative, OECD
PAULO PINHO | Vice President and Medical Director of Innovation, Diameter Health
As the global population ages, neurological diseases such as Alzheimer’s disease, stroke, and epilepsy will represent a top data attribute in disability and mortality predictive modeling. Clinical shortages of geriatric specialists globally have led to missed diagnoses and delays in care leading to untoward clinical and financial outcomes. Research has demonstrated a clear trickle-down impact in underwriting, latent mortality risk, and reserving for the aging population.
Advances in technology and artificial intelligence have given rise to innovative analytical modeling that have benefited both insurance and overall population health. This paper will discuss the application of a neurologically trained artificial intelligence data engine and case studies to provide understanding on how AI-enriched data insights can improve the quality, costs, and context of care.