A UCLA Health report published in Neurology highlights the dual-edged role of artificial intelligence (AI) in healthcare, particularly in neurology. While AI has shown promise in enhancing diagnostics—improving the detection of strokes and brain tumors—it also risks widening health disparities. The reliance on large data sets may disadvantage underrepresented populations, who are often underdiagnosed and excluded from research. To harness AI’s potential, experts emphasize the need for equitable development, involving diverse community perspectives to ensure cultural and linguistic sensitivity. Education is crucial for neurologists, who must recognize AI’s limitations and potential biases. Strong governance mechanisms are also recommended for monitoring AI performance and safeguarding patient rights, advocating for continuous collaboration among regulators, healthcare providers, and AI developers. Dr. Adys Mendizabal underscores the urgency of these measures, stating that current decisions will shape AI’s role as a tool for equity or an impediment to care in neurological health.
Share
Read more