Artificial intelligence in obesity care spans a spectrum from decades-old predictive algorithms to recently deployed generative systems, and across this full range, deployment has outpaced the validation evidence needed to guide it. The goals of this collection are to evaluate AI tools in obesity and related diseases across that spectrum, examining performance under defined reference standards and assessing the clinical, ethical, and equity considerations that determine whether these technologies can be responsibly adopted.