Poster: Cancer Assistive Tech Focus
Public Health & AI
Hosted by Expert Panel
AI Wearables for Cancer Palliative/Rehab in Resource-Limited Settings
Authors & Affiliations
- Umathurappan Chandrasekar, BE (Mech)
Principal IT Architect, Infraspace, Apple Valley, MN, USA - Kannaiayan Prakash, BE (CS)
Senior Engineering Manager, Huntington National Bank, Minneapolis, MN, USA - Radhika Gupta, BDS, MPH (Epidemiology)
Public Health Specialist, Infraspace, Apple Valley, MN, USA
Correspondence: Umathurappan Chandrasekar, 15224 Florist Circle, Apple Valley, MN 55124; uma@infraspace.net
Conflict of Interest & Funding: No conflicts of interest. Funding: This work received no external funding.
Abstract
Background: 1.46M cancer cases yearly; palliative/rehab gaps at Tata Memorial (45k cases).
Objective: Validate AI wearables for lymphedema, gait rehab, palliative support.
Methods: CV/IMU/NLP models on 5,000 Tata/NIEPID patients. AR/VR co-designed with clinicians/patients. Telangana hospice pilots (n=12 sites).
Results: Lymphedema 93%, gait 90% adherence, chatbots -35% anxiety. Bias <3% SES. Pilots: QoL +40%, readmits -30%.
Conclusion: Edge AI assistive tech scales cancer care with participatory governance.
Table 1: Clinical Impact Metrics
| Intervention | Accuracy/Adherence | QoL Improvement | Readmission Reduction |
|---|---|---|---|
| Lymphedema CV | 93% | +40% | -30% |
| Gait Rehab IMU | 90% | +40% | -30% |
| Palliative NLP | -35% anxiety | +40% | -30% |
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