Patients undergoing breast cancer surgery and reconstruction seek information using online patient education materials (OPEMs). The National Institutes of Health (NIH) and American Medical Association (AMA) recommend a sixth-grade reading level for OPEMs. In recent years, Chat Generative Pre-Trained Transformer (ChatGPT), a large language model (LLM), has shown potential utility in patient education. This study compares the readability and content quality of OPEMs on breast cancer surgery and reconstruction with ChatGPT-generated materials. Google searches were conducted in January 2025 to identify relevant OPEMs for breast cancer surgery and reconstruction. For each search term, ChatGPT 4.0 was prompted to generate patient education guides using two approaches: (1) Standard prompting and (2) simplified prompting to align with NIH/AHA recommendations (“write the guide like I am in sixth grade”). Readability and content quality metrics were assessed. Ninety-nine OPEMs and 60 ChatGPT responses (30 standard, 30 simplified) were analyzed. Median Flesch–Kincaid Grade Level (FKGL) was 10.8 for OPEMs, 10.0 for standard ChatGPT responses, and 5.8 for simplified ChatGPT responses. OPEMs and standard ChatGPT responses significantly exceeded NIH/AMA recommendations (p < 0.001). Simplified ChatGPT responses aligned with the sixth-grade level and were significantly easier to read than OPEMs and standard ChatGPT responses (p < 0.001). DISCERN scores did not significantly differ between OPEMs and standard/simplified ChatGPT responses. OPEMs on breast cancer surgery and reconstruction exceed recommended readability levels. ChatGPT, when prompted to simplify, produced materials consistent with NIH/AMA guidelines while maintaining content quality. Using ChatGPT for patient education may enhance accessibility and patient comprehension of health information.

Chronic wounds, including diabetic foot ulcers (DFUs), venous leg ulcers (VLUs), and pressure injuries, remain a major global health burden and contribute substantially to Medicare spending. Because traditional wound dressings fail to address the dynamic microenvironment of chronic wounds, bioactive materials that modulate inflammation and support tissue regeneration are needed. In this study, we evaluated the tissue response to our borate-based bioactive glass fiber matrix (BBGFM) designed to overcome limitations of existing fibrous wound dressings. Two Sus scrofa domesticus underwent creation of twelve 5 × 5 cm subcutaneous pockets each, which were treated with BBGFM at three thicknesses (25%, 50%, and 100%) or left untreated as controls. One animal was euthanized at three weeks and the other at six weeks for gross and histopathological evaluation of all wound sites. BBGFM-treated pockets demonstrated a dose-dependent increase in inflammation at three weeks that diminished by six weeks. Enhanced neovascularization and collagen matrix deposition were also seen at both time points. Collagen maturity increased across all groups by six weeks, and residual BBGFM correlated with initial implant thickness. These findings indicate that BBGFM promotes a controlled inflammatory response and supports neovascularization and matrix remodeling in a dose-dependent manner, suggesting its potential as an effective bioactive wound matrix.