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GZSL-Lite: A Lightweight Generalized Zero-Shot Learning Network for SSVEP-Based BCIs.

IEEE transactions on bio-medical engineering
Generalized zero-shot learning (GZSL) networks offer promising avenues for the development of user-friendly steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs), aiming to alleviate the training burden on users. These n...

Population-Driven Synthesis of Personalized Cranial Development From Cross-Sectional Pediatric CT Images.

IEEE transactions on bio-medical engineering
OBJECTIVE: Predicting normative pediatric growth is crucial to identify developmental anomalies. While traditional statistical and computational methods have shown promising results predicting personalized development, they either rely on statistical...

Patient perceptions of artificial intelligence in dental imaging diagnostics: a multicentre survey.

Dento maxillo facial radiology
OBJECTIVES: To evaluate patients' perceptions of the use of artificial intelligence (AI) in dental imaging diagnostics across 6 centres worldwide, hereby named according to their respective cities: Ribeirão Preto (Brazil), Aarhus (Denmark), Lyon (Fra...

A Novel NICU Sleep State Stratification: Multiperspective Features, Adaptive Feature Selection and Ensemble Model.

IEEE transactions on bio-medical engineering
The examination of sleep patterns in newborns, particularly premature infants, is crucial for understanding neonatal development. This study presents an automated multi-sleep state classification approach for infants in neonatal intensive care units ...

Robot-Mediated Asymmetric Connection Between Humans Can Improve Performance Without Increasing Effort.

IEEE transactions on bio-medical engineering
UNLABELLED: Whether working together to move a table or supporting a child learning to ride a bike, physically connected individuals exchange haptic information to improve motor performance. However, this improvement occurs at the cost of additional ...

mmWave Radar for Sit-to-Stand Analysis: A Comparative Study With Wearables and Kinect.

IEEE transactions on bio-medical engineering
This study investigates a novel approach for analyzing Sit-to-Stand (STS) movements using millimeter-wave (mmWave) radar technology, aiming to develop a non-contact, privacy-preserving, and all-day operational solution for healthcare applications. A ...

Deciphering Explicit and Implicit Features for Reliable, Interpretable, and Actionable User Churn Prediction in Online Video Games.

IEEE transactions on visualization and computer graphics
The burgeoning online video game industry has sparked intense competition among providers to both expand their user base and retain existing players, particularly within social interaction genres. To anticipate player churn, there is an increasing re...

Evaluating the reliability of the responses of large language models to keratoconus-related questions.

Clinical & experimental optometry
CLINICAL RELEVANCE: Artificial intelligence has undergone a rapid evolution and large language models (LLMs) have become promising tools for healthcare, with the ability of providing human-like responses to questions. The capabilities of these tools ...

User experience of and satisfaction with computer-aided design software when designing dental prostheses: a multicenter survey study.

International journal of computerized dentistry
AIM: The present study aimed to compare the responses and satisfaction reported by users with varying levels of experience regarding different types of CAD software programs to design crowns.

Reliability and validity of artificial intelligence-based innovative digital scale for the assessment of anxiety in children.

European journal of paediatric dentistry
AIM: To assess the reliability and validity of an AI-based, innovative digital scale for the assessment of dental anxiety in children.