“Better design instead of blanket bans”
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 15:15 ET (2-Apr-2026 19:15 GMT/UTC)
Existing datasets for medical QA cannot comprehensively assess the proficiency of LLMs in pediatrics. To fill this problem, a research team led by Hui LI and Yanhao WANG published their new research on the benchmark of LLMs for pediatric QA in Frontiers of Computer Science co-published by Higher Education Press and Springer Nature.
Automated lesion segmentation is essential for DR screening, but current deep learning models often lack robustness, generating false positives in low-contrast or artifact-heavy regions. This instability largely stems from a lack of anatomical understanding. While incorporating vessel structures can guide the model, obtaining pixel-level vessel annotations for training is notoriously expensive and scarce.
To address this dilemma, the research team proposed MedFuse on 15 March 2026 in Frontiers of Computer Science co-published by Higher Education Press and Springer Nature.
Researchers from the Center for Injury Research and Policy at Nationwide Children’s Hospital have found more than an estimated 240,800 visits to U.S. emergency departments (EDs) associated with household cleaning product-related injuries from 2007 through 2022 for children aged five years and younger. That’s one injury every 35 minutes. Among all household cleaning products, bleach and detergents were the most common product types associated with these injuries.