Medical Artificial Intelligence: A Multimodal, Human-Centered, Domain-Adaptive Framework for Surgical Decision Support and Patient Safety
This paper proposes an evidence-informed conceptual framework that links multimodal clinical data (electronic health records, laboratory data, imaging, physiological monitoring, surgical video, device telemetry) through a modular AI architecture, domain adaptation, uncertainty estimation, and safety controls to a clinician-facing decision-support interface, explicitly separating the proposed architecture from evidence already reported in the literature and noting that clinical effectiveness of surgical AI remains to be established prospectively.