Search Articles

View query in Help articles search

Search Results (1 to 4 of 4 Results)

Download search results: CSV END BibTex RIS


Assessing Racial and Ethnic Bias in Text Generation by Large Language Models for Health Care–Related Tasks: Cross-Sectional Study

Assessing Racial and Ethnic Bias in Text Generation by Large Language Models for Health Care–Related Tasks: Cross-Sectional Study

By now, most LLM developers have locked their tools against task requests that are obviously seeking to elicit bias. To circumnavigate these blocks, we analyzed health care–related text generated in simple terms by 4 LLMs where the prompts were identical except for race/ethnicity without obviously seeking to elicit bias in the prompt. The NLP linguistic factors that we used in our study as proxy measures for bias were not vastly different based on race/ethnicity.

John J Hanna, Abdi D Wakene, Andrew O Johnson, Christoph U Lehmann, Richard J Medford

J Med Internet Res 2025;27:e57257

AI Interventions to Alleviate Healthcare Shortages and Enhance Work Conditions in Critical Care: Qualitative Analysis

AI Interventions to Alleviate Healthcare Shortages and Enhance Work Conditions in Critical Care: Qualitative Analysis

To assess AI-induced work system changes, we used COMPASS to evaluate each of the 5 job characteristics based on the optimal levels of human-AI teaming for each ICU task. The optimal levels of human-AI teaming for each ICU task were identified in a mixed methods study [39] and summarized in Figure 2 [39]. Summary of results from Bienefeld et al [39], a mixed-method study identifying optimal levels of human-AI teaming in a sample of n=19 data science experts and n=61 nurses and physicians.

Nadine Bienefeld, Emanuela Keller, Gudela Grote

J Med Internet Res 2025;27:e50852

Enabling People With Intellectual and Sensory Disabilities to Trigger a Tablet’s Delivery of Task Instructions by Walking to the Tablet: Proof-of-Concept Study

Enabling People With Intellectual and Sensory Disabilities to Trigger a Tablet’s Delivery of Task Instructions by Walking to the Tablet: Proof-of-Concept Study

Fourth, they had poor fine motor skills and were considered unable to reliably use a tablet for accessing a series of task-step instructions. Fifth, staff supported their involvement in the study and considered technology-aided task engagement a positive goal for the participants and their contexts.

Giulio E Lancioni, Nirbhay N Singh, Mark F O’Reilly, Jeff Sigafoos, Gloria Alberti, Isabella Orlando, Valeria Chiariello, Lorenzo Desideri

JMIR Rehabil Assist Technol 2024;11:e59315

The Effects of Exergaming on Executive and Physical Functions in Older Adults With Dementia: Randomized Controlled Trial

The Effects of Exergaming on Executive and Physical Functions in Older Adults With Dementia: Randomized Controlled Trial

Neural activity during executive function tasks can be measured using electroencephalography (EEG) to record event-related potentials (ERPs) during neuropsychological task performance. The Eriksen flanker test, the Stroop task, the Go/No-go task, and Trail Making Test B are commonly used in neuropsychological test batteries to assess executive function.

Shanshan Wu, Hongqing Ji, Junyeon Won, Eun-Ah Jo, Yun-Sik Kim, Jung-Jun Park

J Med Internet Res 2023;25:e39993