en Radiation Biology Radiation Biology مقاله مروری Review article <div style="text-align: justify;"><span style="font-size:10pt"><span style="text-justify:newspaper"><span style="text-kashida-space:50%"><span style="line-height:119%"><span style="font-family:Calibri"><span style="color:black"><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Background:</span></span></span></span></span></span> <span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">Optimizing radiotherapy infrastructure is essential for delivering safe and effective cancer treatments while minimizing costs and improving sustainability. </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Materials and Methods: </span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">A narrative review was conducted using PubMed, Scopus, and Web of Science (2015&ndash;2024) with the terms &ldquo;radiotherapy,&rdquo; &ldquo;infrastructure,&rdquo; &ldquo;energy efficiency,&rdquo; and &ldquo;patient safety.&rdquo; Inclusion criteria focused on studies addressing energy systems, treatment planning technologies, and infrastructure optimization in cancer facilities. A case study of the Xinhua Cancer Center (Shandong, China) was also analyzed, including renewable energy integration, shielding layouts, and AI-driven maintenance strategies. </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Results: </span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">The literature review identified key strategies such as advanced electrical layouts, real-time dosimetry, AI-assisted planning, and integration of renewable energy. The Xinhua Cancer Center case demonstrated that solar (78,336 kWh/day), wind (1,071 kWh/day), and battery storage (200 kWh/day) provided 87.2% of energy needs, reducing treatment downtime to 12.6%. Ergonomic layouts decreased procedural errors by 17% and improved treatment readiness by 12%. Predictive maintenance lowered equipment downtime by 30% and improved treatment accuracy by 25%. Challenges included retrofitting costs (USD 80&ndash;250/m&sup2;) and regulatory constraints. </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Conclusion: </span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">Optimized radiotherapy infrastructure can substantially enhance treatment efficiency and patient safety. Future directions include AI-based treatment algorithms, hybrid energy storage, smart grid integration, and block chain-secured patient records.</span></span></span></span></span></span></span></span></span></div> Radiotherapy, Health Facility Infrastructure, Energy Efficiency, Patient Safety, Neoplasms, Artificial Intelligence. 851 857 http://ijrr.com/browse.php?a_code=A-10-1-1585&slc_lang=en&sid=1 S. Lu 7900319475328460034456 7900319475328460034456 No Department of Infrastructure, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, 250014, China Q. Zhan 7900319475328460034457 7900319475328460034457 No Department of Medical Engineering, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, 250014, China L. Zhang 7900319475328460034458 7900319475328460034458 No Heze Power Supply Co., State Grid Shandong Electric Power Company, Heze 274002, China J. Cui jhri911@163.com 7900319475328460034459 7900319475328460034459 Yes Department of Infrastructure, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, 250014, China