Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting radiology reports, including volumetric assessments, are conventionally stored ...

Picture this: You are a seventh-grade Spanish immersion student in my middle school classroom. The lights dim as we open our notebooks to a unit assessment in which you will write an informative text.

“If it were done when ’tis done, then ’twere well if it were done quickly.” This is probably not how you’d tell someone to hurry it up in your day-to-day life. But as an actor, you’re likely to ...

Objective: We report the development of named entity recognition (NER), logic-based and large language model (LLM)–based assessments of CR documentation in the electronic health record across 2 ...

The Office of Personnel Management last Friday quietly replaced the privacy impact assessment for the governmentwide email system it has been using to send mass email blasts to the entirety of the ...

Abstract: In the realm of English language assessments, optimizing feedback mechanisms is crucial for enhancing learning outcomes and learner engagement. This paper therefore presents a new approach ...

Artificial intelligence is revolutionizing English language teaching with personalized assessments and advanced tools, though more studies are needed on its effectiveness and equitable accessibility.

A new systematic review reveals that only 5% of health care evaluations for large language models use real patient data, with significant gaps in assessing bias, fairness, and a wide range of tasks, ...

The WIDA ACCESS language proficiency test is used across close to 40 states as part of the federal requirement to determine whether English learners continue to need language-development services. The ...