What family values should guide when we ask AI for help?
Ying Zhang; Qilong Zhang; Ke Jiang; Ying Li; Qiuzhi Xie · 2026-06-16 · Family Process
Nursery and kindergarten children; exact ages not reportedCC BY 4.0Mixed consumer AI and LLM use; qualitative family-practice studyDirect parenting evidence
Would an AI ear assessment solve the part of care that troubles our family?
Jacqueline H. Stephens; Celine Northcott; Amanda Machell; Trent Lewis; Eng H. Ooi · 2025-09-02 · Health Expectations : An International Journal of Public Participation in Health Care and Health Policy
Children attending otitis media services; child ages not specifiedCC BY 4.0Proposed narrow otitis media diagnostic AIDirect parenting evidence
Would an AI reminder help me be more present with my young child?
Jill Glassman; Kathryn Humphreys; Serena Yeung; Michelle Smith; Adam Jauregui; Arnold Milstein; Lee Sanders; Rita Kukafka; Sami Binyamin; Runting Zhong · 2021-03-15 · Journal of Medical Internet Research
Children aged five years or youngerCC BY 4.0Hypothetical AI coaching/monitoring designDirect parenting evidence
Infant boys up to 12 months; mean age 5.1 months among completersCC BY 4.0Narrow computer-vision facial pain assessment; not generative AIDirect parenting evidence
Can an answer with credible citations still be unsafe for my child?
Ting Kang; Chi Yuan; Xinyu Hu; Wenjiao Huang; Stefano Brini · 2026-07-29 · Journal of Medical Internet Research
Children undergoing hypospadias care; pediatric age range not specified hereCC BY 4.0Generative AI/LLMs; blinded answer-ranking and safety benchmarkDirect parenting evidence
How can I judge an AI explanation of my child’s cancer beyond whether it sounds reassuring?
Emre Sezgin; Daniel I. Jackson; A. Baki Kocaballi; Mindy Bibart; Sue Zupanec; Wendy Landier; Anthony Audino; Mark Ranalli; Micah Skeens · 2025-01-07 · Cancer Medicine
Pediatric cancer; no children or caregivers enrolled as usersCC BY 4.0Generative AI/LLM information and search toolsFamily implications
Autism information for families of children roughly 2–18 years; no family users enrolledCC BY 4.0Generative AI/LLM multilingual answer benchmarkFamily implications
How would I verify an AI answer about ear tubes against the clinician’s recommendation?
Alexander Moise; Adam Centomo-Bozzo; Ostap Orishchak; Mohammed K Alnoury; Sam J Daniel; Paul R Carney; Nathan M Novotny; Abraham Pouliakis · 2023-09-30 · Children
Children considered for tympanostomy tubes; no child or parent participantsCC BY 4.0Generative AI/LLM guideline-concordance benchmarkFamily implications
Could an AI name the problem correctly while giving my family unsafe next steps?
Stefan Bushuven; Michael Bentele; Stefanie Bentele; Bianka Gerber; Joachim Bansbach; Julian Ganter; Milena Trifunovic-Koenig; Robert Ranisch · 2023-11-21 · Journal of Medical Systems
Twenty pediatric emergency and two basic-life-support vignettesCC BY 4.0Generative AI/LLM emergency-advice safety benchmarkFamily implications
What evidence would a specialized AI family-support tool need before I relied on it?
Mana Hanzawa; Joe Hasei; Ayumi Okada; Chie Tanaka; Yoshie Shigeyasu; Chikako Fujii; Makiko Horiuchi; Akiko Sugihara; Koichi Takeuchi; Ryuichi Nakahara; Hideki Katayama; Yasushi Takahashi; Toshifumi Ozaki; Hirokazu Tsukahara · 2026-03-09 · Frontiers in Digital Health
Children and adolescents with anorexia nervosa; families not enrolledCC BY 4.0Domain-specific generative AI/LLM with retrieval and guardrailsFamily implications
Who should be accountable when an AI-supported decision harms a child?
Shiyi Xu · 2026-06-30 · Frontiers in Digital Health
Neonates through adolescents are an explicit application groupCC BY 4.0Generative AI/LLM accountability theory; hypothetical audit infrastructureFamily implications