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Depression Detection at the Point of Care: Automated Analysis of Linguistic Signals from Routine Primary Care Encounters

arXiv preprint 2026Depression is underdiagnosed in primary care, yet timely identification remains critical. Recorded clinical encounters, increasingly common with digital scribing technologies, present an opportunity to detect depression from naturalistic dialogue.

Preference-Based Learning in Audio Applications: A Systematic Analysis

arXiv preprint 2025Despite the parallel challenges that audio and text domains face in evaluating generative model outputs, preference learning remains remarkably underexplored in audio applications. Through a PRISMA-guided systematic review of approximately 500 papers, we find that only 30 (6%) apply preference learning to audio tasks.

AcuVR: Enhancing Acupuncture Training Workflow with Virtual Reality

arXiv preprint 2024Acupuncture is currently taught with 2D atlases and practice on peers, which is unintuitive and carries real risk in sensitive areas such as the eyes. AcuVR moves that practice into virtual reality, using medical imaging and standardized anatomy models to simulate customized scenarios, and was evaluated with eight acupuncture students and practitioners.