Results 211 to 220 of about 121,206 (307)
Abstract Multimodal large language models (LLMs) are now deeply integrated into medical education and widely used by medical students, yet it remains unclear whether current models possess the accuracy and reliability needed to support image‐based learning.
Ming Lu, Josiah Cheng, Vinod Gopalan
wiley +1 more source
Leveraging educational data to advance equity in school-based asthma care. [PDF]
Adeleke SA +3 more
europepmc +1 more source
ChatGPT for complex text evaluation tasks
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley +1 more source
Supervising for trust in an EPA based curriculum: a focused ethnography of supervisors' entrustment decisions in dental education. [PDF]
Hissink E +5 more
europepmc +1 more source
Abstract Online technologies are required for accessing essential services, such as healthcare, transportation, and education. Challenges to online technology access can prevent resource‐constrained communities from connecting to these services. Human intermediaries who act in the middle space between technology and the person using the technology may ...
Marcy G. Antonio +4 more
wiley +1 more source
Development and Usability Testing of the Mobile Childhood Asthma Management Program (mCHAMP) App: Sequential Mixed Methods Study. [PDF]
Lucero RJ +5 more
europepmc +1 more source
Abstract Large swarms often adopt a hierarchical network structure that incorporates information aggregation. Although this approach offers significant advantages in terms of communication efficiency and computational complexity, it can also lead to degradation due to information constraints.
Kento Fujita, Daisuke Tsubakino
wiley +1 more source

