Żurada, Anna

ABSTRACT Photogrammetry has emerged as a powerful tool in medical education, offering precise and cost‐effective 3D anatomical models that enhance spatial learning and accessibility. This systematic review synthesizes evidence from forty‐eight (48) peer‐reviewed studies (2000–2025) to evaluate photogrammetry's applications, technical workflows, and educational outcomes in anatomy and surgical training. Findings demonstrate its effectiveness across training levels, with high learner satisfaction (e.g., 96.4% preference over traditional methods) and sub‐millimeter accuracy in rendering complex structures like neuroanatomy and musculoskeletal systems. Photogrammetry's adaptability for remote learning and specimen preservation addresses critical gaps in resource‐limited settings. However, challenges persist, including the lack of tactile feedback and difficulties in visualizing deep anatomical relationships. Future directions should focus on integrating artificial intelligence (AI)‐assisted processing, hybrid digital–physical models, and immersive technologies like virtual reality (VR)/augmented reality (AR) to bridge these gaps. By balancing innovation with evidence‐based implementation, photogrammetry can further solidify its role as a transformative adjunct in modern medical curricula.