| World Physiotherapy

2025: Tokyo

Innovative technology: information management, big data and artificial intelligence (PL-20)

Platform abstracts

Comparative analysis of human and machine-learning approaches to identifying clinical trials in the field of physiotherapy

Geraldine Wallbank

Catherine Sherrington

2025: Tokyo

Printed poster presentations (PO-302)

Printed poster

Gesture similarity index based on muscle synergies model describing hand recovery after stroke: preliminary results of a randomised controlled trial

2025: Tokyo

Printed poster presentations (PO-302)

Printed poster

Use of Artificial Intelligence in by Physiotherapy Educators and Researchers

António Alves Lopes

Pedro Chana Valero

Jeroen Alessie

2025: Tokyo

Orthopaedics (PL-44)

Platform abstracts

Biomechanical characteristics of knee rehabilitation exercises: A new approach for data-based exercise selection and control of progression

2025: Tokyo

ePO-049

ePoster presentation

Artificial Intelligence of Things (AIoT)-Based Strengthening Ergometer Mitigates Cancer Cachexia Progression and Boosts Patient Physical Fitness

2025: Tokyo

Printed poster presentation (PO-202)

Printed poster

Potential of an AI-based open source application for knowledge management in physiotherapy

Annett l'Orteye

Thomas Schrader

Jacqueline Semper-Jost

Vivien Semper

Kerstin Schrader

2025: Tokyo

Printed poster presentations (PO-101)

Printed poster

Development of Machine Learning Models to Predict Improvement in Knee Injury and Osteoarthritis Outcome Score After Total Knee Arthroplasty.

Yoshitomo Saiki

Naoyuki Kubo

Tomohiro Ojima

2025: Tokyo

Printed poster presentations (PO-302)

Printed poster

Enhancing Learning Through a Balance of Pedagogical Approaches and Integration of AI in Hybrid Courses for Physical Therapy Students

Annie Burke-Doe

Kristen Johnson

Christopher Ivey

2025: Tokyo

Printed poster presentations (PO-102)

Printed poster

Artificial intelligence-based prediction of the functional independence measure for motor skills at discharge from a recovery-phase rehabilitation ward

2025: Tokyo

Innovative technology: information management, big data and artificial intelligence (PL-20)

Platform abstracts

Watch Walk Platform: A Fee-Waived Software for Analyzing Wrist-Worn Sensor Data to Measure Real-World Gait Speed, Quality and Step Counts

Matthew Brodie

Lloyd Chan

Stephen Lord

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Comparative analysis of human and machine-learning approaches to identifying clinical trials in the field of physiotherapy

Gesture similarity index based on muscle synergies model describing hand recovery after stroke: preliminary results of a randomised controlled trial

Use of Artificial Intelligence in by Physiotherapy Educators and Researchers

Biomechanical characteristics of knee rehabilitation exercises: A new approach for data-based exercise selection and control of progression

Artificial Intelligence of Things (AIoT)-Based Strengthening Ergometer Mitigates Cancer Cachexia Progression and Boosts Patient Physical Fitness

Potential of an AI-based open source application for knowledge management in physiotherapy

Development of Machine Learning Models to Predict Improvement in Knee Injury and Osteoarthritis Outcome Score After Total Knee Arthroplasty.

Enhancing Learning Through a Balance of Pedagogical Approaches and Integration of AI in Hybrid Courses for Physical Therapy Students

Artificial intelligence-based prediction of the functional independence measure for motor skills at discharge from a recovery-phase rehabilitation ward

Watch Walk Platform: A Fee-Waived Software for Analyzing Wrist-Worn Sensor Data to Measure Real-World Gait Speed, Quality and Step Counts