Clinical translation represents the defining step for photoacoustic imaging to mature from a research-intensive technology into a validated diagnostic modality. Over the past decade, rapid advances in light sources, acoustic detection, and computational reconstruction have enabled compact and affordable photoacoustic imaging systems with real-world clinical potential. However, successful translation requires more than technical feasibility and it demands evidence of safety, reliability, cost-effectiveness, and clinical relevance across diverse healthcare environments. This chapter examines the evolving landscape of clinical translation for affordable photoacoustic imaging, highlighting pathways from laboratory innovation to regulatory approval, standardization efforts, and integration into clinical workflows. The discussion focuses on how affordability through LED- and laser diode-based systems, portable hardware, and computational intelligence can accelerate adoption and democratize biomedical imaging. Key case studies illustrate successful translation models, while persistent barriers such as data standardization, validation methodology, and reimbursement frameworks are critically evaluated. The insights presented aim to define a practical roadmap for bridging the gap between preclinical promise and widespread clinical use.