AIMC Topic: Feedback

Clear Filters Showing 1 to 10 of 622 articles

Evaluation of Few-Shot AI-Generated Feedback on Case Reports in Physical Therapy Education: Mixed Methods Study.

JMIR medical education
BACKGROUND: While artificial intelligence (AI)-generated feedback offers significant potential to overcome constraints on faculty time and resources associated with providing personalized feedback, its perceived usefulness can be undermined by algori...

Oura Ring Behavioral Feedback Intervention for Alcohol Reduction in Young Adults: User Experience Evaluation of a Pilot Randomized Trial.

Journal of medical Internet research
BACKGROUND: Wearable fitness technologies, like the Oura Ring (Oura Health Oy), provide physiological metrics, like sleep and heart rate data, to a growing user base of young adults. However, these technologies and connected mobile apps do not measur...

Artificial intelligence based personalized student feedback system -Sisu Athwala' to enhance exam performance of medical undergraduates.

PloS one
BACKGROUND: In medical education, mentoring and feedback play crucial roles. Providing feedback on exam performance is a vital component as it allows students to improve. Feedback has to be tailor made and specific to the individual student. This nee...

Medical students' perceptions of AI-based feedback and feedforward on communication skills in doctor-patient consultation - an acceptance study in a video-based simulation.

Medical education online
Feedback and feedforward are highly relevant in promoting students' learning. With advances in artificial intelligence (AI), new opportunities to support feedback and feedforward are emerging. However, few studies have explored how medical students p...

Evaluation of an AI-Based Chatbot Providing Real-Time Feedback in Communication Training for Mental Health Care Professionals: Proof-of-Concept Observational Study.

Journal of medical Internet research
BACKGROUND: Effective communication is essential in medical practice, especially in dealing with the increasing number of patients presenting with mental health conditions. Feedback plays a crucial role in improving communication skills but is often ...

An intelligent taekwondo coaching system based on augmented reality technology with real-time feedback mechanisms.

Scientific reports
Traditional taekwondo training methods face limitations in providing objective, real-time feedback for technique improvement, relying primarily on subjective instructor observations that may lack precision and consistency. This research presents an i...

Automated Evaluation of Reflection and Feedback Quality in Workplace-Based Assessments by Using Natural Language Processing: Cross-Sectional Competency-Based Medical Education Study.

JMIR medical education
BACKGROUND: Competency-based medical education relies heavily on high-quality narrative reflections and feedback within workplace-based assessments. However, evaluating these narratives at scale remains a significant challenge.

Nonlinear control of a fully actuated robotic hand using high-order sliding mode and feedback linearization controllers.

PloS one
The increasing adoption of prosthetic devices in medical applications introduces complex and variable load conditions, particularly due to the diverse nature of user disabilities. To address the resulting control challenges, this paper proposes a nov...

Effect of artificial intelligence-assisted personalized feedback on radiographic diagnostic performance of dental students: a controlled study.

BMC medical education
BACKGROUND: This study aimed to evaluate the impact of MeSH based personalized learning guides generated by ChatGPT-4o on the radiographic diagnostic performance of dental students and to compare it with the traditional correct/incorrect feedback met...

Online reinforcement learning of state representation in recurrent network supported by the power of random feedback and biological constraints.

eLife
Representation of external and internal states in the brain plays a critical role in enabling suitable behavior. Recent studies suggest that state representation and state value can be simultaneously learned through Temporal-Difference-Reinforcement-...