Abstract
Recently, I presented a webinar for the Advanced Practitioner Society for Hematology and Oncology (APSHO) on the topic of artificial intelligence (AI) in cancer care, where I reviewed practical, ethical, and clinical applications. We discussed how advanced practitioners (APs) can use AI tools for clinical documentation, research, and scholarly communications. We discussed AI subcategories, including machine learning (ML), deep learning (DL), large language models (LLMs), and generative AI (GenAI), which are now common in medicine (Celik, 2025; Oermann et al., 2025).
References
Celik, S. U. (2025). Integrating artificial intelligence into scientific writing: A narrative review for clinical and surgical researchers. American Journal of Surgery, 250, 116657. https://doi.org/10.1016/j.amjsurg.2025.116657
Oermann, M. H., Owens, J. K., Carter-Templeton, H., Peterson, G., & Bailey, H. E. (2025). Using artificial intelligence for scholarly writing. The American Journal of Nursing, 125(11), 52–55. https://doi.org/10.1097/AJN.0000000000000179
