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Notes on healthcare ai
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A knowledge-guided agentic framework for mitigating patient-context ambiguity in health queries
The paper introduces a framework to help healthcare chatbots better understand underspecified patient queries by using a knowledge graph to generate plausible hypotheses and asking targeted follow-up questions. The…
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
The text discusses a new paradigm called ComBodied Agents, which aims to bridge the gap between digital and embodied artificial intelligence by focusing on modeling, predicting, and supporting individual humans over…
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
The text introduces a new paradigm called ComBodied Agents, which aims to bridge the gap between digital and embodied agents in AI by focusing on understanding and supporting individual human state trajectories over…
From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems
The research proposes a new architecture for hospital AI systems aimed at addressing the issues of isolated point solutions and lack of compliance in current AI deployments in hospitals. The proposed architecture…
From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems
The research proposes a multi-layered compliance-first Agentic AI architecture for hospital systems. The architecture aims to address the challenges of siloed AI deployments in hospitals by integrating various layers…
A Self-Evolving Agent for Longitudinal Personal Health Management
The authors developed an open-source agent architecture called HealthClaw for personal health management. It learns and adapts to changes in a person's routines, preferences, measurements, and risks over time. The…
OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice
The paper introduces OmniFood-Bench, a comprehensive benchmark for evaluating the performance of Vision-Language Models (VLMs) in personalized healthcare and dietary management. The benchmark focuses on three…
The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology
The Large Cancer Assistant (LCA) is a proposed framework designed to improve the scalability of clinical decision support systems in oncology. It aims to address the rigidity of current multimodal deep learning models…
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