mlsanityData to 7 Oct 2026

VitalDiagnosis: AI-Driven Ecosystem for 24/7 Vital Monitoring and Chronic Disease Management

arXiv 2601.15798 ↗First posted 22 Jan 2026cs.AIcited by 0

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Abstract (arXiv)

Chronic diseases have become the leading cause of death worldwide, a challenge intensified by strained medical resources and an aging population. Individually, patients often struggle to interpret early signs of deterioration or maintain adherence to care plans. In this paper, we introduce VitalDiagnosis, an LLM-driven ecosystem designed to shift chronic disease management from passive monitoring to proactive, interactive engagement. By integrating continuous data from wearable devices with the reasoning capabilities of LLMs, the system addresses both acute health anomalies and routine adherence. It analyzes triggers through context-aware inquiries, produces provisional insights within a collaborative patient-clinician workflow, and offers personalized guidance. This approach aims to promote a more proactive and cooperative care paradigm, with the potential to enhance patient self-management and reduce avoidable clinical workload.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 16 references that are in the map. First posted on arXiv 22 Jan 2026.

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4 of 16 references.

References · 4

  1. 2025SensorLM: Learning the Language of Wearable Sensorscited by 44
  2. 2024Personalized LLM Response Generation with Parameterized Memory Injectioncited by 33
  3. 2024PhysioLLM: Supporting Personalized Health Insights with Wearables and Large Language Modelscited by 16
  4. 2024Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challengescited by 12

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  1. 2026VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data
  2. 2026Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories
  3. 2026HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care
  4. 2024Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis
  5. 2024DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
  6. 2026A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series
  7. 2026Agentic AI in Healthcare & Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-based Agents
  8. 2026SMARtCARE: Privacy-Preserving Agentic AI Systems for Bounded-Autonomy Clinical Decision Support