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• Synergy of Artificial Intelligence and Extended Reality in Patient-focused Health and Well-Being Applications—A Systematic Review

  Tim Schwirtlich, Cheolmin Matthew Lee, Molly Beestrum, David C. Mohr · 2026 · ACM Transactions on Computing for Healthcare

  This systematic review, conducted by researchers at Northwestern University's Feinberg School of Medicine, maps the landscape of applications that combine artificial intelligence and extended reality (XR) for direct patient health and well-being outcomes. The review follows…

  extended reality · artificial intelligence · rehabilitation · mental health · accessibility

• Towards Accessible Mobility Support: User-Centered Design of a Passive, Multi-Functional, Low-Cost Knee Exoskeleton

  Yuyu Lin, Yujia Liu, Emma Kim, Alexandra Ion · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Lin et al. (Carnegie Mellon) propose a fully passive, unpowered knee exoskeleton that aims to sit in the gap between two unsatisfying options currently available to people with mobility impairments: static knee-ankle-foot orthoses (KAFOs), which are cheap and light but lock the…

  exoskeleton · orthosis · knee brace · mobility · rehabilitation

• "It Depends": Re-Authoring Play Through Clinical Reasoning in Wearable AR Rehab Games

  Binyan Xu, Wei Wu, Soonhyeon Kweon, Casper Harteveld, Leanne Chukoskie · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper examines how lightweight, glasses-form-factor augmented reality (AR) rehabilitation games can be translated from laboratory prototypes into everyday physical therapy (PT) practice. The authors argue that most AR rehab research has stalled in controlled…

  augmented reality · rehabilitation · physical therapy · clinical reasoning · embodied interaction

• From Preference to Performance: Patient-Centered Design of Multimodal Cueing in Parkinson's Disease Gait Training

  Xinjin Li, Wenjie Wang, Kai Wang, Houzhen Tuo, Xiaolong Ma, Xiaohui Tan, Wei Sun, Feng Tian, Xiaojuan Ma · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a patient-centered design and evaluation of a wearable multimodal cueing system for gait rehabilitation in early-stage Parkinson's disease (PD). The authors first run semi-structured interviews with 10 early-stage PD patients and 5 clinicians (3…

  parkinson's disease · gait training · multimodal cueing · rehabilitation · wearable technology

4 results.