DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home
Generative AI is reshaping healthcare, yet most existing advances rely on hospital-grade devices, which limits their accessibility and potential for health management outside clinical settings. With the proliferation of portable devices and telemedicine, healthcare is shifting toward home-based Diagnosis-It-Yourself (DIY) care. Despite this promise, several distinctive challenges remain: (i) home-collected data are heterogeneous, exacerbated by the absence of standardized large-scale datasets; (ii) models require adaptation to variable task demands and evolving individual conditions; (iii) the broad spectrum of home care tasks lacks a unified benchmark for systematic evaluation. In this p...
| Authors | Changshuo Liu, Junran Wu, Zhongle Xie et al. |
|---|---|
| Primary category | cs.CY |
| Published | 1 May 2026 |
| Last updated at source | 1 May 2026 |
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