Principled Uncertainty in Clinical AI: End-to-End Bayesian Modelling and Algorithmic Equity Auditing Across Multimodal Patient Data

Oladimeji Anthonio, Dimeji Abdulsobur Olawuyi, Oloruntoba Ajayi +2

Clinical artificial intelligence (AI) systems routinely produce predictions without principled quantification of uncertainty, limiting their trustworthiness in high-stakes medical…