ICLR 2025PastHealthcare & biologyEducation
AI for Children: Healthcare, Psychology, Education
ICLR 2025 Workshop AI4CHL
- Submission deadline
- Feb 24, 2025, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (26)
Fetched from OpenReview (v2) on 2026-06-10.
A PILOT STUDY ON THE IMPACT OF LLMS ON VIRTUAL TUTORING FOR LOW- TO MIDDLE-INCOME COUNTRIES
AI in Yoruba STEM Education for Early Childhood Learning: A Study on Translation Quality and Context
AI-Based Early Detection of Developmental Delays in Children with Sickle Cell Disease (Ages 0–5)
AlphaGo or beta-hCG: a reinforcement learning framework for assisted conception
Assessing Large Language Models in Children's Education in Low-Resource Settings: Opportunities and Challenges
Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes
Commentary: Adaptive Transformation of Educational Content Using Large Language Models for Children with ADHD
Commentary: Continuous Turing Test -- A Sociological and Psychological Approach on Human-AI Distinction
Commentary: Utilizing Large Language Models for Adaptive Education in Children with Autism Spectrum Disorder
Evaluating Speech To Text For Children With Speech Impairment
FetalCSR: Multi-input Attention Fusion Network for Neural ODE-based Fetal Cortical Surface Reconstruction
From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions
Human-Centered Ethical AI: Transforming Education and Healthcare for Displaced Children in Northern Nigeria
Intelligent Technology-Driven Precision Assessment and Personalized Rehabilitation System for Children with Articulation Disorders
Large Language Model-Powered Personalized Education for Refugee Children: Adaptive Learning on Low-Resource Devices
MinorBench: A hand-built benchmark for content-based risks for children
Multimodal Hypoxic-Ischemic Encephalopathy Lesion Segmentation in Neonates: A Comparative Study of Loss Functions
Optimising Screen-Based Learning for Children with Neuropersonalised Acoustic Ostensive Signals
Predicting pulmonary hypertension in newborns: A multi-view VAE approach
Prediction of Item Difficulty for Reading Comprehension Items by Creation of Annotated Item Repository
Quantitative Evaluation of Multimodal LLMs in Pediatric Radiology Report Generation
Towards an Explainable Longitudinal Representation Learning for Organizing Trajectories of Adolescent Mental Health Onset
Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings
Understanding School Attendance Through Multimodal Modelling of Student Narratives
What About the Children? Evaluating and Mitigating Ageism in Medical QA Benchmarks
When AI Falls Short: Assessing LLMs Support for Pediatric Cancer Caregivers