Study Evaluates Small Language Models for Plain-Language Simplification of Medical Reports
Researchers evaluated multiple artificial intelligence language models to adapt complex clinical reports into accessible plain language for patients.
Researchers evaluated multiple artificial intelligence language models to adapt complex clinical reports into accessible plain language for patients.
Nanyang Technological University and Google have formalized an expanded partnership to advance campus-wide artificial intelligence integration, regional language models, and ...
The EU has funded a €3 million initiative, coordinated by the Barcelona Supercomputing Center and EuroHPC JU, to link supercomputing ...
A multi-agent retrieval-augmented framework coordinates specialized language models to deliver structured, rubric-aligned feedback on student writing while restricting direct answer ...
SeraEdit packages language-guided MusicXML editing as a validated, reversible transaction that cut measured leakage to zero while increasing refusals in ...
A retrieval-augmented BioGPT pipeline for biomedical yes/no/maybe question answering shows that cross-validated performance, evidence conditions and run-to-run variability all reshape ...
A new finetuning method lets small open-weight language models accurately extract acute cervical spine fracture labels from CT reports while ...
A corpus-driven complexity analysis finds that Grover-based quantum attacks on substitution ciphers could outpace classical random search by thousands of ...
A Cell study found that aging-specialized language models matched or surpassed 16 general-purpose frontier systems on a benchmark spanning clinical ...
An Android screening app trained on Indonesian survey data used XGBoost and SHAP to explain dysglycemia risk, achieving a 0.72 ...
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© 2026 Scienmag - Science Magazine