Recent studies have illuminated AI's transformative role across biomedical fields, from enhancing embryo classification with deep learning frameworks like EmbryoNet-VGG16 to automating clinical grading in simulation-based education. Innovative machine learning models are advancing diagnostics—for instance, in brain tumor differentiation using XGBoost, and skin toxicity prediction in breast cancer radiotherapy. AI applications also extend to neurology, with large language models influencing healthcare communication. These breakthroughs mark a paradigm shift, integrating AI for greater diagnostic precision and educational efficacy in biotech and health sectors.