Buchumschlag

Assessment of AI-Generated Pediatric Rehabilitation SOAP-Note Quality

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Amenyo, Solomon, Grossman, Maura R., Brown, Daniel G., Wylie-Toal, Brendan
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Human-Computer Interaction
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

MaRginalia: Enabling In-person Lecture Capturing and Note-taking Through Mixed Reality
von: Qiu, Leping, et al.
Veröffentlicht: (2025)

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering
von: Tang, Jessica, et al.
Veröffentlicht: (2025)

Data Acquisition Through Participatory Design for Automated Rehabilitation Assessment
von: Ahmed, Tamim, et al.
Veröffentlicht: (2025)

Designing and Evaluating AI Margin Notes in Document Reader Software
von: Joshi, Nikhita, et al.
Veröffentlicht: (2025)

Watching Popular Musicians Learn by Ear: A Hypothesis-Generating Study of Human-Recording Interactions in YouTube Videos
von: Liscio, Christopher, et al.
Veröffentlicht: (2024)

KnowledgeTrail: Generative Timeline for Exploration and Sensemaking of Historical Events and Knowledge Formation
von: Suh, Sangho, et al.
Veröffentlicht: (2025)

GLAT: The Generative AI Literacy Assessment Test
von: Jin, Yueqiao, et al.
Veröffentlicht: (2024)

Evidence-centered Assessment for Writing with Generative AI
von: Cheng, Yixin, et al.
Veröffentlicht: (2024)

Script2Screen: Supporting Dialogue Scriptwriting with Interactive Audiovisual Generation
von: Wang, Zhecheng, et al.
Veröffentlicht: (2025)

Actor's Note: Examining the Role of AI-Generated Questions in Character Journaling for Actor Training
von: Kang, Sora, et al.
Veröffentlicht: (2026)

Imagining Computing Education Assessment after Generative AI
von: MacNeil, Stephen, et al.
Veröffentlicht: (2024)

LOOM: Personalized Learning Informed by Daily LLM Conversations Toward Long-Term Mastery via a Dynamic Learner Memory Graph
von: Cui, Justin, et al.
Veröffentlicht: (2025)

Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning
von: Kazemitabaar, Majeed, et al.
Veröffentlicht: (2024)

Breast-Rehab: A Postoperative Breast Cancer Rehabilitation Training Assessment System Based on Human Action Recognition
von: Chen, Zikang, et al.
Veröffentlicht: (2025)

Open-Source Tool for Evaluating Human-Generated vs. AI-Generated Medical Notes Using the PDQI-9 Framework
von: Sultan, Iyad
Veröffentlicht: (2025)

Generative Co-Learners: Enhancing Cognitive and Social Presence of Students in Asynchronous Learning with Generative AI
von: Wang, Tianjia, et al.
Veröffentlicht: (2024)

Leveraging Peer, Self, and Teacher Assessments for Generative AI-Enhanced Feedback
von: Becerra, Alvaro, et al.
Veröffentlicht: (2025)

State Anxiety Biomarker Discovery: Electrooculography and Electrodermal Activity in Stress Monitoring
von: Dao, Jadelynn, et al.
Veröffentlicht: (2024)

More AI Assistance Reduces Cognitive Engagement: Examining the AI Assistance Dilemma in AI-Supported Note-Taking
von: Chen, Xinyue, et al.
Veröffentlicht: (2025)

AI Chatbots or Human Therapists? Belief-Based Predictors of Mental Health Help-Seeking Intentions in the Age of Generative AI
von: Park, Junsang, et al.
Veröffentlicht: (2025)

An Actionability Assessment Tool for Explainable AI
von: Singh, Ronal, et al.
Veröffentlicht: (2024)

Generative AI and Attentive User Interfaces: Five Strategies to Enhance Take-Over Quality in Automated Driving
von: Ebel, Patrick
Veröffentlicht: (2024)

A Collaborative Rehabilitation-Exercise Serious Game for People with Stroke and their Caregivers: A Pilot Study
von: Vasquez, Elizabeth D., et al.
Veröffentlicht: (2026)

When and How AI Should Assist Brainstorming for AI Impact Assessment
von: Govers, Jarod, et al.
Veröffentlicht: (2026)

Games! What are they good for? The Struggle of Serious Game Adoption for Rehabilitation
von: Fonseca, Maria Micaela, et al.
Veröffentlicht: (2025)

Characterizing AI Fact-Checkers and Their Contributions on Community Notes
von: Gong, Yilin, et al.
Veröffentlicht: (2026)

A Deep Learning Approach to Interface Color Quality Assessment in HCI
von: Wang, Shixiao, et al.
Veröffentlicht: (2025)

Development of Automated Data Quality Assessment and Evaluation Indices by Analytical Experience
von: Haruki, Yuka, et al.
Veröffentlicht: (2025)

AI-Powered Camera and Sensors for the Rehabilitation Hand Exoskeleton
von: Sarker, Md Abdul Baset, et al.
Veröffentlicht: (2024)

StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation
von: Suh, Sangho, et al.
Veröffentlicht: (2025)

Discussing Risks and Benefits in the Future of Hybrid Rehabilitation and Fitness in Mixed Reality
von: Funke, Jana Franceska, et al.
Veröffentlicht: (2024)

AI Academy: Building Generative AI Literacy in Higher Ed Instructors
von: Chen, Si, et al.
Veröffentlicht: (2025)

Adaptique: Multi-objective and Context-aware Online Adaptation of Selection Techniques in Virtual Reality
von: Lai, Chao-Jung, et al.
Veröffentlicht: (2025)

Desk2Desk: Optimization-based Mixed Reality Workspace Integration for Remote Side-by-side Collaboration
von: Sidenmark, Ludwig, et al.
Veröffentlicht: (2024)

The Impact of Generative AI on Social Media: An Experimental Study
von: Møller, Anders Giovanni, et al.
Veröffentlicht: (2025)

To Reach the Unreachable: Exploring the Potential of VR Hand Redirection for Upper Limb Rehabilitation
von: Xiong, Peixuan, et al.
Veröffentlicht: (2024)

Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot
von: Lim, Jun Hong, et al.
Veröffentlicht: (2023)

Toward a Human-AI Task Tensor: A Taxonomy for Organizing Work in the Age of Generative AI
von: Doshi, Anil R., et al.
Veröffentlicht: (2025)

A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI
von: Prompiengchai, Sapolnach, et al.
Veröffentlicht: (2025)

Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework
von: Peng, Jingyang, et al.
Veröffentlicht: (2025)