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The literature falls short on consistent real-time benchmarking, robustness/energy reporting, and mature foundation-model integration; the results show real-time performance is achieved through pairing lightweight architectures with hardware-aware compression rather than accuracy gains alone.
Background: Chronic disease management, an ageing global population, and the aftermath of the COVID-19 pandemic have pushed real-time, continuous health monitoring from a research curiosity toward routine clinical practice. Artificial intelligence (AI), the Internet of Medical Things (IoMT), edge computing, and next-ge...
The paradigms of the generative adversarial networks (GANs), variational autoencoders (VAEs), transformer-based designs, and diffusion models, with the last one representing the state of the art in image generation models are discussed.
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