Latest AI and machine learning research in medical education for healthcare professionals.
The use of chatbots equipped with artificial intelligence (AI) in educational settings has increased in recent years, showing potential to support teaching and learning. However, the adoption of these technologies has raised concerns about their impact on academic integrity, students' ability to problem-solve independently, and potential underlying biases. To better understand students' perspect...
Curriculum learning strategies have been proven to be effective in various applications and have gained significant interest in the field of machine learning. It has the ability to improve the final model's performance and accelerate the training process. However, in the medical imaging domain, data irregularities can make the recognition task more challenging and usually result in misclassifica...
Proteins play essential roles in nature, from catalyzing biochemical reactions to binding specific targets. Advances in protein engineering have the...
Numerical precision in large-scale scientific computations has become an emerging topic due to recent developments in computer hardware. Lower float...
Generative Pre-trained Transformer (GPT)-4, a versatile conversational artificial intelligence, has potential applications in medicine, but its abilit...
Micromobility, which utilizes lightweight mobile machines moving in urban public spaces, such as delivery robots and mobility scooters, emerges as a...
Large language models (LLMs) show promise in medical knowledge assessment. This study benchmarked a closed-source (GPT-4o, OpenAI, San Francisco, CA) ...
The integration of artificial intelligence (AI) and augmented reality (AR) in dental education is transforming how students acquire and refine clinica...
Generative artificial intelligence, including large language models (LLMs), holds immense potential to enhance healthcare, medical education, and heal...
BACKGROUND: Competency-based nursing education necessitates effective instructional methods and assessment tools for evaluating students' knowledge, s...
With the public release of ChatGPT before the 2024 dermatology residency application cycle, applicants gained access to an advanced language model cap...
The physics-based Doyle-Fuller-Newman (DFN) model, widely adopted for its precise electrochemical modeling, stands out among various simulation mode...
Learning from few demonstrations to develop policies robust to variations in robot initial positions and object poses is a problem of significant pr...
Unauthorized screen capturing and dissemination pose severe security threats such as data leakage and information theft. Several studies propose rob...
For deep learning-based image steganography frameworks, in order to ensure the invisibility and recoverability of the information embedding, the los...
Recent advances in autonomous system simulation platforms have significantly enhanced the safe and scalable testing of driving policies. However, ex...
Recent advances in autonomous system simulation platforms have significantly enhanced the safe and scalable testing of driving policies. However, ex...
Quantum computing education faces significant challenges due to its complexity and the limitations of current tools; this paper introduces a novel I...
Aiming at the problems of poor quality of steganographic images and slow network convergence of image steganography models based on deep learning, t...
In computer animation, game design, and human-computer interaction, synthesizing human motion that aligns with user intent remains a significant cha...