Clinical Support

"Another emerging application for AI is in cancer surgery. In a recent study, an AI-powered 3D reconstruction system significantly improved lung surgery planning by more accurately identifying critical anatomic features, such as blood vessels and bronchi, thus reducing errors by over 40 percent and preoperative planning time by 25 percent (1055)Chen X, et al. (2025) Nat Commun, 16: 4086..\n\nAt the same time, LLMs are proving valuable for diagnostic and treatment decisions. In a randomized controlled trial, physicians using GPT-4, a large multimodal DL model, outperformed those using conventional resources alone in clinical management tasks, such as considering diagnostic decisions, treatment options, and factors like patient comfort and preferences (1056)Goh E, et al. (2025) Nat Med, 31: 1233.. Researchers have also recently developed a fully automated clinical AI agent that integrates GPT-4 with precision oncology tools, including models for genomic analysis, histopathology interpretation, image analysis, and web-based search tools. By combining these capabilities, the agent guided clinical decision-making with high accuracy. When tested on 20 realistic, simulated patient cases, this system recommended appropriate treatments and care plans in over 90 percent of cases, nearly tripling the accuracy of GPT-4 alone (1057)Ferber D, et al. (2025) Nat Cancer.. Together, these advances are paving the way for smarter clinical support for patients that can deliver more personalized care and shape the future of cancer treatment."