The integration of artificial intelligence (AI) in healthcare is transforming the field, enabling more accurate and efficient disease detection, improved medical intelligence, and enhanced predictive modeling. Recent advancements in machine learning and computer vision have led to the development of innovative methods for detecting plant diseases and stress, leveraging techniques such as deep learning, self-supervised learning, and contrastive learning. Notable papers include MangoLeafViT, ConMamba, and Temporal Vegetation Index-Based Unsupervised Crop Stress Detection via Eigenvector-Guided Contrastive Learning, which demonstrate the potential of AI in plant disease detection. In the field of medical intelligence, researchers are focusing on multimodal understanding, integrating text, images, and other modalities to improve clinical decision-making and patient outcomes. The development of comprehensive evaluation frameworks, such as CSVQA and ReXVQA, is assessing the performance of large language models and vision-language models in real-world medical tasks. The integration of AI in medical applications is also being explored, with models like MedHELM, MedOrchestra, and Infi-Med demonstrating potential in supporting diagnosis, treatment, and clinical trial predictions. Furthermore, advancements in predictive modeling are driven by the increasing availability of heterogeneous data and advances in large language models. Researchers are exploring innovative applications of these models to improve clinical decision-making, patient outcomes, and personalized care. Noteworthy papers include Adaptable Cardiovascular Disease Risk Prediction from Heterogeneous Data using Large Language Models and The Medical World Model, which introduce novel frameworks for CVD risk prediction and tumor evolution simulation. Overall, the integration of AI in healthcare is paving the way for more accurate, efficient, and reliable medical practices, and future research should continue to explore the potential of AI in transforming the field.