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Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation
1 Introduction Pediatric oncology presents unique challenges in treatment and the need for accurate caregiver information and education during the course of therapy. Caregivers often seek detailed information regarding their child's condition, treatment, and side effects [1]. The need for effective real-time information is critical as it impacts the caregivers' understanding of cancer treatment and ability to make informed decisions to support their child through the treatment journey.
Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross-Sectional Investigation
The authors have declared no competing interest. This study did not receive any funding I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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