Artificial intelligence and deep learning models are significantly impacting medical image analysis and diagnostics. New models enhance prediction of glioma genetic status and gastric cancer image interpretation. Transfer learning frameworks improve chronic rhinosinusitis postoperative assessments. Additional AI applications include drug metabolism prediction and nonlinear system control in biomedicine. While transformative, recent reports highlight risks such as AI-generated fake studies within FDA workflows, emphasizing the need for rigorous validation.