Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Risk-based strategies are superior to the U.S. Preventive Services Task Force (USPSTF) criteria for optimizing efficiency and ...
Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
The BERT model achieved the highest impact factor tertile classification accuracy of 75.0%, followed by an accuracy of 71.6% for XGBoost and 65.4% for logistic regression. Similarly, BERT achieved the ...
Background Sociodemographic inequalities impact patients with non-small cell lung cancer (NSCLC). Advances in novel ...
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