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A. Kargarandehkordi

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Open access Oct 2026

Limited utility of consumer wearable APIs for predicting substance use and craving, despite model personalization

We explored the feasibility of predicting, using individually-tailored artificial intelligence (AI) models, substance use and craving from Fitbit data collected in free-living conditions. Most substances examined acutely raise heart rate, and craving is known to often involve autonomic arousal. Because heart rate res...

Ali Kargarandehkordi, Agnik Banerjee, Yi-Nan Sun et al. · 0 citations
Open access Aug 2026

RobustPDx: A Structured Web-Based Parkinson’s Assessment Dataset and Benchmark for AI Robustness to Device Type and Handedness

RobustPDx is introduced, a dataset comprising structured motor and cognitive tasks performed remotely via an accessible web-based assessment completed by 261 participants, including 73 individuals with self-reported PD, 33 individuals reporting suspected PD, and 155 non-PD controls, each completing standardized tasks r...

Zerin Nasrin Tumpa, Md Rahat Shahriar Zawad, L. Sollis et al. · 0 citations

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