Tag: Clinical AI
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Post-Training Alignment for Medical Audio Understanding
Enhance medical audio models with AcuLa, a framework aligning audio encoders to language models for improved clinical diagnostics and AI healthcare innovat...
Consistency of AI-Generated Exercise Plans Using LLMs
Study evaluates the consistency of AI-generated exercise prescriptions with large language models, highlighting semantic reliability and variability in int...
Aleatoric Uncertainty in Medical Image Segmentation Models
Explore aleatoric uncertainty in medical image segmentation using vision foundation models to enhance robustness and accuracy in clinical applications.
Cognitive Core: Governed AI for Institutional Decisions
Discover Cognitive Core, an AI framework ensuring governed, accurate institutional decisions with zero silent errors and robust human review integration.
Medical Reasoning with Large Language Models: Survey & MR-Bench
Explore how large language models enhance medical reasoning with MR-Bench, bridging gaps in clinical AI decision-making for safer healthcare.