ai in medicine
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MultiMed-RAG: leveraging multi-source knowledge and agent collaboration for medical tasks
The article discusses a system called MultiMed-RAG, which aims to leverage multi-source knowledge and agent collaboration for medical tasks. The specific task mentioned is Clinisense AI for automated clinical skills…
Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent
Researchers present Guideline-as-Oracle (GAO), a method for training an ophthalmic telephone triage agent using guidelines from the American Academy of Ophthalmology as the only source of instance-level supervision…
Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning
The paper introduces Medical Reasoning-aware Policy Optimization (MRPO), a reinforcement learning algorithm for medical multimodal reasoning, which aims to optimize the reasoning process and reduce cascading errors…
A specialized reasoning large language model for accelerating rare disease diagnosis: a randomized AI physician assistance trial
A new open-source language model called RaDaR (Rare Disease navigatoR) has been developed to aid in the diagnosis of rare diseases. The model was trained on a combination of public free-text cases and synthetic cases…
DeepBD: A Grounded Agentic Workflow for Variant Prioritization and Diagnosis of Genetic Birth Defects
The study presents DeepBD, an artificial intelligence system designed to help diagnose genetic birth defects. DeepBD uses a combination of structured rule evidence, sequence and variant-effect representations…
