AI Patient Materials for Pediatric Oral Health Fail Standard Readability Benchmarks
A comparative study of six artificial intelligence chatbots found their pediatric oral health materials consistently exceeded recommended reading levels.
A comparative study of six artificial intelligence chatbots found their pediatric oral health materials consistently exceeded recommended reading levels.
A new graph machine learning framework integrates LLMs and human oversight to predict urban walkability and simulate design interventions in ...
A benchmark evaluation of nine large language models across 200 professional Parkinson's disease tasks revealed minimal separation in factual accuracy ...
A zero-shot evaluation of GPT-4o found strong performance for chemical incident extraction from news articles, while radiological events were too ...
A comprehensive survey analyzes how generative artificial intelligence models are transforming spatial-temporal data mining by replacing traditional deterministic networks with ...
While the models produced well-organized documents that identified key clinical and social dimensions, the study found that high analytical scores ...
A study of Swiss referendum debates reveals that large language models align with human evaluations of political arguments through surface ...
An exploratory vignette study found that large language models matched physicians in tuberculosis diagnostic accuracy while scoring higher on structured ...
Researchers have introduced the Politus Dataset, combining social media data and privacy-preserving artificial intelligence to evaluate political public opinion and ...
A router-based multi-agent artificial intelligence framework demonstrated improved accuracy and consistency over standalone frontier language models in preliminary engineering calculations ...
Researchers have demonstrated a fully on-device robotic drawing framework that translates natural language scene descriptions into physical sketch trajectories using ...
A computational workflow named CELLIA pairs statistical differential expression metrics with curated marker databases to improve the accuracy and consistency ...
A multimodal language model protocol accurately predicted 50 of 51 state outcomes in the 2024 US presidential election using social ...
Researchers synthesize cross layer semiconductor manufacturing controls into an auditable closed loop framework balancing classical optimization with emerging intelligent systems.
A narrative review reveals that artificial intelligence tools for detecting depression show marked performance declines when evaluated in large cohorts ...
A study in Nature Machine Intelligence reveals that advanced reasoning models consistently expend greater computational effort when processing counter-stereotypical associations.
A structured narrative review maps how human-to-machine, machine-to-machine and machine-to-human learning could enable collaborative search and rescue robotics while exposing ...
A new processing service called SAGE uses collaborative large language model agents to classify, transcribe and fuse multimodal forensic records, ...
A new Frontiers in Nuclear Medicine editorial gathers six studies showing how long axial field of view total body PET ...
A new Frontiers in Bird Science collection shows how birding, citizen science and artificial intelligence are driving evidence-based conservation across ...
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