No-Code AI for Surgeons: Bridging Clinical Insight and Digital Tool Development—A Conceptual Perspective

Artificial intelligence (AI) is increasingly influencing orthopedic practice by improving diagnostic accuracy, surgical planning, and research efficiency. Despite these advances, the adoption of AI-based tools in routine orthopedic workflows remains limited due to the technical expertise and financial resources traditionally required for software development. Most orthopedic surgeons possess strong clinical and analytical insight but lack formal programming knowledge, creating a gap between clinical needs and available digital solutions. Recent advances in AI-driven no-code platforms offer a promising solution to this challenge. These platforms allow clinicians to develop customized clinical and analytical tools using natural language prompts and intuitive graphical interfaces, eliminating the need for conventional coding skills. By clearly defining a clinical problem and specifying desired inputs and outputs, surgeons can conceptualize and generate functional applications tailored to their specific requirements. In orthopedics, such tools have potential applications in radiological measurements, deformity analysis, preoperative planning, and research data analytics, particularly in resource-limited settings where access to commercial software is restricted. No-code AI development democratizes technology by reducing costs, accelerating tool creation, and enabling surgeon-led innovation. However, the reliability and safety of these tools depend on appropriate clinical validation and human oversight, as AI-generated outputs are influenced by data quality and prompt clarity.