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The online version of an evidence-based hand exercise programme for people with rheumatoid arthritis: An effectiveness-implementation study.
J Hand Ther
January 2025
Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom.
Background: The Strengthening and Stretching for Rheumatoid Arthritis of the Hand (SARAH) program is an evidence-based exercise program for adults with hand function difficulties due to rheumatoid arthritis. A self-guided online version of the program has been developed for direct access by patients.
Purpose: To evaluate the delivery of the online program in routine therapy care and its impact on clinical outcomes, before making it widely available.
A novel and efficient digital image steganography technique using least significant bit substitution.
Sci Rep
January 2025
Universidad Europea del Atlántico. Isabel Torres 21, Santander, 39011, Spain.
Steganography is used to hide sensitive types of data including images, audio, text, and videos in an invisible way so that no one can detect it. Image-based steganography is a technique that uses images as a cover media for hiding and transmitting sensitive information over the internet. However, image-based steganography is a challenging task due to transparency, security, computational efficiency, tamper protection, payload, etc.
View Article and Find Full Text PDFUsing OpenAI's Text-To-Video Model Sora to Generate Cardiopulmonary Resuscitation Content.
Resuscitation
December 2024
University of Bern, Bern, Switzerland; Department of Surgical Science, University of Torino, Torino, Italy.
Predicting working alliance in psychotherapy: A multi-modal machine learning approach.
Psychother Res
January 2025
Deliberate AI, New York, NY, United States.
Objective: Session-by-session tracking of the working alliance enables clinicians to detect alliance deterioration and intervene accordingly, which has shown to improve treatment outcome, and reduce dropout. Despite this, regular use of alliance self-report measures has failed to gain widespread implementation. We aimed to develop an automated alliance prediction using behavioral features obtained from video-recorded therapy sessions.
View Article and Find Full Text PDFExploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.
BMC Med Educ
December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
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