Cancer-related malnutrition affects up to 80% of patients and contributes to 10 to 20% of cancer deaths, yet the registered dietitian-to-patient ratio in oncology stands at 1:2,308.AI tools for malnutrition screening, body composition analysis, and dietary counseling show promise in isolation but cannot reason across data modalities or adapt to evolving treatment courses.Agentic AI, a class of autonomous systems capable of reasoning, tool use, planning, and memory, has demonstrated near-clinical-grade performance in oncology decision support.We propose a multi-agent architecture for nutritional oncology governed by a graduated autonomy model, and discuss the evidentiary, regulatory, and equity barriers that must be addressed before clinical deployment. The silent crisis in cancer nutritionMalnutrition remains one of the most pervasive yet underaddressed complications in oncology 1.It affects 40 to 80% of cancer patients depending on tumor type and stage, and is estimated to contribute to 10 to 20% of cancer deaths 2,3.The European Society for Clinical Nutrition and Metabolism (ESPEN) has documented the downstream cascade, including diminished treatment tolerance, prolonged hospitalizations, increased healthcare costs, and reduced survival 2,3.Cancer cachexia develops in up to 80% of patients with advanced disease and remains an independent predictor of mortality regardless of body mass index 3.Despite decades of clinical nutrition guidelines, including ESPEN's cancer nutrition guideline and ASPEN's 2024 systematic review recommending validated malnutrition screening in all oncology outpatients 4, the implementation gap persists.A 2024 survey of oncology clinicians found that only 26% reported nutrition specialist integration into their multidisciplinary teams 5.The registered dietitian-tooncology-patient ratio in U.S. outpatient settings stands at approximately 1:2,308, a nineteen-fold shortfall from the estimated 1:120 needed for proactive nutritional care 6.The consequence is predictable: only 12% of cancer survivors met recommended fruit and vegetable intake criteria 7.This is not merely a knowledge deficit; it is a systems failure, and precisely the kind that artificial intelligence is now poised to address.
Sarkar et al. (Tue,) studied this question.