Background: The clinical management of type 2 diabetes mellitus (T2DM) presents a significant challenge due to the constantly evolving clinical practice guidelines and growing array of drug classes available. Evidence suggests that artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) have proven to be effective in assisting clinicians with informed decision-making. Despite the merits of AI-driven CDSSs, a significant research gap exists concerning the early-stage implementation and adoption of AI-enabled CDSSs in T2DM management.
View Article and Find Full Text PDFWe present the case of 24-year-old woman who presented with chronic headaches with features of raised intracranial pressure and bilateral papilledema. Brain magnetic resonance imaging revealed the characteristic features of idiopathic intracranial hypertension. A diagnosis supported by clinical features and other ancillary tests.
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