The end of the year is a time for reflecting on advancements, particularly in the realm of artificial intelligence in healthcare, where significant progress was seen in 2023 and 2024 with the increase of medical diagnostic models and clinical AI tools in production. Key developments include the expansion of AI applications beyond radiology into more complex medical areas like microscopy, the integration of AI into wearable devices for proactive patient health monitoring, and efforts to combat AI bias by making datasets public. The healthcare industry is also witnessing the rise of demographic-specific AI models tailored to diverse populations, aiming to address long-standing biases in medical care. The proliferation of healthcare AI is contributing to the democratization of healthcare by enhancing accessibility in remote and underserved regions, while simultaneously raising challenges around data privacy. As AI adoption grows, the focus on balancing data accessibility with privacy, improving AI model bias, and enabling personalized care continues to be paramount for both patients and clinicians.