aceMultiturn Large Language Model-Based Conversational Agents for Patients With Cancer and Caregivers: Scoping Review
Large language model (LLM)-based conversational agents are increasingly used in health care, yet their capacity to support genuine multiturn dialogue remains underexplored. In oncology, where patients and caregivers experience complex informational and emotional needs throughout the disease trajectory, conversational agents may support information provision, symptom consultation, and emotional assistance. However, research specifically examining multiturn conversational agents designed for patients with cancer a…
LLM-based multiturn chatbots for cancer patients and caregivers lack consistent reporting on safety risks and mitigation, and lack evaluation of conversational continuity and memory.
Evidence base is very small and early-stage, with only eight included studies focused on prototype development and heterogeneous evaluation, limiting generalizability about effectiveness or safety.
Evidence
- Peer-reviewedJMIR Cancer2026-07-21
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Truvace Impact Record TRV-2026-0508, v1: “Multiturn Large Language Model-Based Conversational Agents for Patients With Cancer and Caregivers: Scoping Review.” Truvace, 2026-07-22. /record/TRV-2026-0508 (accessed at citation time). sha256 35ed37609b751152…
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